Conocimiento, Consciencia, Educacion

Nervous system manipulation by electromagnetic fields from monitors US 6506148 B2

Nervous system manipulation by electromagnetic fields from monitors
US 6506148 B2
Physiological effects have been observed in a human subject in response to stimulation of the skin with weak electromagnetic fields that are pulsed with certain frequencies near ½ Hz or 2.4 Hz, such as to excite a sensory resonance. Many computer monitors and TV tubes, when displaying pulsed images, emit pulsed electromagnetic fields of sufficient amplitudes to cause such excitation. It is therefore possible to manipulate the nervous system of a subject by pulsing images displayed on a nearby computer monitor or TV set. For the latter, the image pulsing may be imbedded in the program material, or it may be overlaid by modulating a video stream, either as an RF signal or as a video signal. The image displayed on a computer monitor may be pulsed effectively by a simple computer program. For certain monitors, pulsed electromagnetic fields capable of exciting sensory resonances in nearby subjects may be generated even as the displayed images are pulsed with subliminal intensity.
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I claim:

1. A method for manipulating the nervous system of a subject located near a monitor, the monitor emitting an electromagnetic field when displaying an image by virtue of the physical display process, the subject having a sensory resonance frequency, the method comprising:
creating a video signal for displaying an image on the monitor, the image having an intensity;
modulating the video signal for pulsing the image intensity with a frequency in the range 0.1 Hz to 15 Hz; and
setting the pulse frequency to the resonance frequency.
2. A computer program for manipulating the nervous system of a subject located near a monitor, the monitor emitting an electromagnetic field when displaying an image by virtue of the physical display process, the subject having cutaneous nerves that fire spontaneously and have spiking patterns, the computer program comprising:
a display routine for displaying an image on the monitor, the image having an intensity;
a pulse routine for pulsing the image intensity with a frequency in the range 0.1 Hz to 15 Hz; and
a frequency routine that can be internally controlled by the subject, for setting the frequency;
whereby the emitted electromagnetic field is pulsed, the cutaneous nerves are exposed to the pulsed electromagnetic field, and the spiking patterns of the nerves acquire a frequency modulation.
3. The computer program of claim 2, wherein the pulsing has an amplitude and the program further comprises an amplitude routine for control of the amplitude by the subject.
4. The computer program of claim 2, wherein the pulse routine comprises:
a timing procedure for timing the pulsing; and
an extrapolation procedure for improving the accuracy of the timing procedure.
5. The computer program of claim 2, further comprising a variability routine for introducing variability in the pulsing.
6. Hardware means for manipulating the nervous system of a subject located near a monitor, the monitor being responsive to a video stream and emitting an electromagnetic field when displaying an image by virtue of the physical display process, the image having an intensity, the subject having cutaneous nerves that fire spontaneously and have spiking patterns, the hardware means comprising:
pulse generator for generating voltage pulses;
means, responsive to the voltage pulses, for modulating the video stream to pulse the image intensity;
whereby the emitted electromagnetic field is pulsed, the cutaneous nerves are exposed to the pulsed electromagnetic field, and the spiking patterns of the nerves acquire a frequency modulation.
7. The hardware means of claim 6, wherein the video stream is a composite video signal that has a pseudo-dc level, and the means for modulating the video stream comprise means for pulsing the pseudo-dc level.
8. The hardware means of claim 6, wherein the video stream is a television broadcast signal, and the means for modulating the video stream comprise means for frequency wobbling of the television broadcast signal.
9. The hardware means of claim 6, wherein the monitor has a brightness adjustment terminal, and the means for modulating the video stream comprise a connection from the pulse generator to the brightness adjustment terminal.
10. A source of video stream for manipulating the nervous system of a subject located near a monitor, the monitor emitting an electromagnetic field when displaying an image by virtue of the physical display process, the subject having cutaneous nerves that fire spontaneously and have spiking patterns, the source of video stream comprising:
means for defining an image on the monitor, the image having an intensity; and
means for subliminally pulsing the image intensity with a frequency in the range 0.1 Hz to 15 Hz;
whereby the emitted electromagnetic field is pulsed, the cutaneous nerves are exposed to the pulsed electromagnetic field, and the spiking patterns of the nerves acquire a frequency modulation.
11. The source of video stream of claim 10 wherein the source is a recording medium that has recorded data, and the means for subliminally pulsing the image intensity comprise an attribute of the recorded data.
12. The source of video stream of claim 10 wherein the source is a computer program, and the means for subliminally pulsing the image intensity comprise a pulse routine.
13. The source of video stream of claim 10 wherein the source is a recording of a physical scene, and the means for subliminally pulsing the image intensity comprise:
pulse generator for generating voltage pulses;
light source for illuminating the scene, the light source having a power level; and
modulation means, responsive to the voltage pulses, for pulsing the power level.
14. The source of video stream of claim 10, wherein the source is a DVD, the video stream comprises a luminance signal and a chrominance signal, and the means for subliminal pulsing of the image intensity comprise means for pulsing the luminance signal.
BACKGROUND OF THE INVENTIONThe invention relates to the stimulation of the human nervous system by an electromagnetic field applied externally to the body. A neurological effect of external electric fields has been mentioned by Wiener (1958), in a discussion of the bunching of brain waves through nonlinear interactions. The electric field was arranged to provide “a direct electrical driving of the brain”. Wiener describes the field as set up by a 10 Hz alternating voltage of 400 V applied in a room between ceiling and ground. Brennan (1992) describes in U.S. Pat. No. 5,169,380 an apparatus for alleviating disruptions in circadian rythms of a mammal, in which an alternating electric field is applied across the head of the subject by two electrodes placed a short distance from the skin.

A device involving a field electrode as well as a contact electrode is the “Graham Potentializer” mentioned by Hutchison (1991). This relaxation device uses motion, light and sound as well as an alternating electric field applied mainly to the head. The contact electrode is a metal bar in Ohmic contact with the bare feet of the subject, and the field electrode is a hemispherical metal headpiece placed several inches from the subject’s head.

In these three electric stimulation methods the external electric field is applied predominantly to the head, so that electric currents are induced in the brain in the physical manner governed by electrodynamics. Such currents can be largely avoided by applying the field not to the head, but rather to skin areas away from the head. Certain cutaneous receptors may then be stimulated and they would provide a signal input into the brain along the natural pathways of afferent nerves. It has been found that, indeed, physiological effects can be induced in this manner by very weak electric fields, if they are pulsed with a frequency near ½ Hz. The observed effects include ptosis of the eyelids, relaxation, drowziness, the feeling of pressure at a centered spot on the lower edge of the brow, seeing moving patterns of dark purple and greenish yellow with the eyes closed, a tonic smile, a tense feeling in the stomach, sudden loose stool, and sexual excitement, depending on the precise frequency used, and the skin area to which the field is applied. The sharp frequency dependence suggests involvement of a resonance mechanism.

It has been found that the resonance can be excited not only by externally applied pulsed electric fields, as discussed in U.S. Pat. Nos. 5,782,874, 5,899,922, 6,081,744, and 6,167,304, but also by pulsed magnetic fields, as described in U.S. Pat. Nos. 5,935,054 and 6,238,333, by weak heat pulses applied to the skin, as discussed in U.S. Pat. Nos. 5,800,481 and 6,091,994, and by subliminal acoustic pulses, as described in U.S. Pat. No. 6,017,302. Since the resonance is excited through sensory pathways, it is called a sensory resonance. In addition to the resonance near ½ Hz, a sensory resonance has been found near 2.4 Hz. The latter is characterized by the slowing of certain cortical processes, as discussed in the ‘481, ‘922, ‘302, ‘744, ‘944, and ‘304 patents.

The excitation of sensory resonances through weak heat pulses applied to the skin provides a clue about what is going on neurologically. Cutaneous temperature-sensing receptors are known to fire spontaneously. These nerves spike somewhat randomly around an average rate that depends on skin temperature. Weak heat pulses delivered to the skin in periodic fashion will therefore cause a slight frequency modulation (fm) in the spike patterns generated by the nerves. Since stimulation through other sensory modalities results in similar physiological effects, it is believed that frequency modulation of spontaneous afferent neural spiking patterns occurs there as well.

It is instructive to apply this notion to the stimulation by weak electric field pulses administered to the skin. The externally generated fields induce electric current pulses in the underlying tissue, but the current density is much too small for firing an otherwise quiescent nerve. However, in experiments with adapting stretch receptors of the crayfish, Terzuolo and Bullock (1956) have observed that very small electric fields can suffice for modulating the firing of already active nerves. Such a modulation may occur in the electric field stimulation under discussion.

Further understanding may be gained by considering the electric charges that accumulate on the skin as a result of the induced tissue currents. Ignoring thermodynamics, one would expect the accumulated polarization charges to be confined strictly to the outer surface of the skin. But charge density is caused by a slight excess in positive or negative ions, and thermal motion distributes the ions through a thin layer. This implies that the externally applied electric field actually penetrates a short distance into the tissue, instead of stopping abruptly at the outer skin surface. In this manner a considerable fraction of the applied field may be brought to bear on some cutaneous nerve endings, so that a slight modulation of the type noted by Terzuolo and Bullock may indeed occur.

The mentioned physiological effects are observed only when the strength of the electric field on the skin lies in a certain range, called the effective intensity window. There also is a bulk effect, in that weaker fields suffice when the field is applied to a larger skin area. These effects are discussed in detail in the ‘922 patent.

Since the spontaneous spiking of the nerves is rather random and the frequency modulation induced by the pulsed field is very shallow, the signal to noise ratio (S/N) for the fm signal contained in the spike trains along the afferent nerves is so small as to make recovery of the fm signal from a single nerve fiber impossibile. But application of the field over a large skin area causes simultaneous stimulation of many cutaneous nerves, and the fm modulation is then coherent from nerve to nerve. Therefore, if the afferent signals are somehow summed in the brain, the fm modulations add while the spikes from different nerves mix and interlace. In this manner the S/N can be increased by appropriate neural processing. The matter is discussed in detail in the ‘874 patent. Another increase in sensitivity is due to involving a resonance mechanism, wherein considerable neural circuit oscillations can result from weak excitations.

An easily detectable physiological effect of an excited ½ Hz sensory resonance is ptosis of the eyelids. As discussed in the ‘922 patent, the ptosis test involves first closing the eyes about half way. Holding this eyelid position, the eyes are rolled upward, while giving up voluntary control of the eyelids. The eyelid position is then determined by the state of the autonomic nervous system. Furthermore, the pressure excerted on the eyeballs by the partially closed eyelids increases parasympathetic activity. The eyelid position thereby becomes somewhat labile, as manifested by a slight flutter. The labile state is sensitive to very small shifts in autonomic state. The ptosis influences the extent to which the pupil is hooded by the eyelid, and thus how much light is admitted to the eye. Hence, the depth of the ptosis is seen by the subject, and can be graded on a scale from 0 to 10.

In the initial stages of the excitation of the ½ Hz sensory resonance, a downward drift is detected in the ptosis frequency, defined as the stimulation frequency for which maximum ptosis is obtained. This drift is believed to be caused by changes in the chemical milieu of the resonating neural circuits. It is thought that the resonance causes perturbations of chemical concentrations somewhere in the brain, and that these perturbations spread by diffusion to nearby resonating circuits. This effect, called “chemical detuning”, can be so strong that ptosis is lost altogether when the stimulation frequency is kept constant in the initial stages of the excitation. Since the stimulation then falls somewhat out of tune, the resonance decreases in amplitude and chemical detuning eventually diminishes. This causes the ptosis frequency to shift back up, so that the stimulation is more in tune and the ptosis can develop again. As a result, for fixed stimulation frequencies in a certain range, the ptosis slowly cycles with a frequency of several minutes. The matter is discussed in the ‘302 patent.

The stimulation frequencies at which specific physiological effects occur depend somewhat on the autonomic nervous system state, and probably on the endocrine state as well.

Weak magnetic fields that are pulsed with a sensory resonance frequency can induce the same physiological effects as pulsed electric fields. Unlike the latter however, the magnetic fields penetrate biological tissue with nearly undiminished strength. Eddy currents in the tissue drive electric charges to the skin, where the charge distributions are subject to thermal smearing in much the same way as in electric field stimulation, so that the same physiological effects develop. Details are discussed in the ‘054 patent.

SUMMARYComputer monotors and TV monitors can be made to emit weak low-frequency electromagnetic fields merely by pulsing the intensity of displayed images. Experiments have shown that the ½ Hz sensory resonance can be excited in this manner in a subject near the monitor. The 2.4 Hz sensory resonance can also be excited in this fashion. Hence, a TV monitor or computer monitor can be used to manipulate the nervous system of nearby people.

The implementations of the invention are adapted to the source of video stream that drives the monitor, be it a computer program, a TV broadcast, a video tape or a digital video disc (DVD).

For a computer monitor, the image pulses can be produced by a suitable computer program. The pulse frequency may be controlled through keyboard input, so that the subject can tune to an individual sensory resonance frequency. The pulse amplitude can be controlled as well in this manner. A program written in Visual Basic(R) is particularly suitable for use on computers that run the Windows 95(R) or Windows 98(R) operating system. The structure of such a program is described. Production of periodic pulses requires an accurate timing procedure. Such a procedure is constructed from the GetTimeCount function available in the Application Program Interface (API) of the Windows operating system, together with an extrapolation procedure that improves the timing accuracy.

Pulse variability can be introduced through software, for the purpose of thwarting habituation of the nervous system to the field stimulation, or when the precise resonance frequency is not known. The variability may be a pseudo-random variation within a narrow interval, or it can take the form of a frequency or amplitude sweep in time. The pulse variability may be under control of the subject.

The program that causes a monitor to display a pulsing image may be run on a remote computer that is connected to the user computer by a link; the latter may partly belong to a network, which may be the Internet.

For a TV monitor, the image pulsing may be inherent in the video stream as it flows from the video source, or else the stream may be modulated such as to overlay the pulsing. In the first case, a live TV broadcast can be arranged to have the feature imbedded simply by slightly pulsing the illumination of the scene that is being broadcast. This method can of course also be used in making movies and recording video tapes and DVDs.

Video tapes can be edited such as to overlay the pulsing by means of modulating hardware. A simple modulator is discussed wherein the luminance signal of composite video is pulsed without affecting the chroma signal. The same effect may be introduced at the consumer end, by modulating the video stream that is produced by the video source. A DVD can be edited through software, by introducing pulse-like variations in the digital RGB signals. Image intensity pulses can be overlaid onto the analog component video output of a DVD player by modulating the luminance signal component. Before entering the TV set, a television signal can be modulated such as to cause pulsing of the image intensity by means of a variable delay line that is connected to a pulse generator.

Certain monitors can emit electromagnetic field pulses that excite a sensory resonance in a nearby subject, through image pulses that are so weak as to be subliminal. This is unfortunate since it opens a way for mischievous application of the invention, whereby people are exposed unknowingly to manipulation of their nervous systems for someone else’s purposes. Such application would be unethical and is of course not advocated. It is mentioned here in order to alert the public to the possibility of covert abuse that may occur while being online, or while watching TV, a video, or a DVD.

DESCRIPTION OF THE DRAWINGSFIG. 1 illustrates the electromagnetic field that emanates from a monitor when the video signal is modulated such as to cause pulses in image intensity, and a nearby subject who is exposed to the field.

FIG. 2 shows a circuit for modulation of a composite video signal for the purpose of pulsing the image intensity.

FIG. 3 shows the circuit for a simple pulse generator.

FIG. 4 illustrates how a pulsed electromagnetic field can be generated with a computer monitor.

FIG. 5 shows a pulsed electromagnetic field that is generated by a television set through modulation of the RF signal input to the TV.

FIG. 6 outlines the structure of a computer program for producing a pulsed image.

FIG. 7 shows an extrapolation procedure introduced for improving timing accuracy of the program of FIG. 6.

FIG. 8 illustrates the action of the extrapolation procedure of FIG. 7.

FIG. 9 shows a subject exposed to a pulsed electromagnetic field emanating from a monitor which is responsive to a program running on a remote computer via a link that involves the Internet.

FIG. 10 shows the block diagram of a circuit for frequency wobbling of a TV signal for the purpose of pulsing the intensity of the image displayed on a TV monitor.

FIG. 11 depicts schematically a recording medium in the form of a video tape with recorded data, and the attribute of the signal that causes the intensity of the displayed image to be pulsed.

FIG. 12 illustrates how image pulsing can be embedded in a video signal by pulsing the illumination of the scene that is being recorded.

FIG. 13 shows a routine that introduces pulse variability into the computer program of FIG. 6.

FIG. 14 shows schematically how a CRT emits an electromagnetic field when the displayed image is pulsed.

FIG. 15 shows how the intensity of the image displayed on a monitor can be pulsed through the brightness control terminal of the monitor.

FIG. 16 illustrates the action of the polarization disc that serves as a model for grounded conductors in the back of a CRT screen.

FIG. 17 shows the circuit for overlaying image intensity pulses on a DVD output.

FIG. 18 shows measured data for pulsed electric fields emitted by two different CRT type monitors, and a comparison with theory.

DETAILED DESCRIPTIONComputer monitors and TV monitors emit electromagnetic fields. Part of the emission occurs at the low frequencies at which displayed images are changing. For instance, a rythmic pulsing of the intensity of an image causes electromagnetic field emission at the pulse frequency, with a strength proportional to the pulse amplitude. The field is briefly referred to as “screen emission”. In discussing this effect, any part or all what is displayed on the monitor screen is called an image. A monitor of the cathode ray tube (CRT) type has three electron beams, one for each of the basic colors red, green, and blue. The intensity of an image is here defined as

I=∫j dA,  (1)

where the integral extends over the image, and

j=jr+jg+jb,  (2)

jr, jg, and jb being the electric current densities in the red, green, and blue electron beams at the surface area dA of the image on the screen. The current densities are to be taken in the distributed electron beam model, where the discreteness of pixels and the raster motion of the beams are ignored, and the back of the monitor screen is thought to be irradiated by diffuse electron beams. The beam current densities are then functions of the coordinates x and y over the screen. The model is appropriate since we are interested in the electromagnetic field emision caused by image pulsing with the very low frequencies of sensory resonances, whereas the emissions with the much higher horizontal and vertical sweep frequencies are of no concern. For a CRT the intensity of an image is expressed in millamperes.

For a liquid crystal display (LCD), the current densities in the definition of image intensity are to be replaced by driving voltages, multiplied by the aperture ratio of the device. For an LCD, image intensities are thus expressed in volts.

It will be shown that for a CRT or LCD screen emissions are caused by fluctuations in image intensity. In composite video however, intensity as defined above is not a primary signal feature, but luminance Y is. For any pixel one has

Y=0.299R+0.587G+0.114B,  (3)

where R, G, and B are the intensities of the pixel respectively in red, green and blue, normalized such as to range from 0 to 1. The definition (3) was provided by the Commission Internationale de l’Eclairage (CIE), in order to account for brightness differences at different colors, as perceived by the human visual system. In composite video the hue of the pixel is determined by the chroma signal or chrominance, which has the components R-Y and B-Y It follows that pulsing pixel luminance while keeping the hue fixed is equivalent to pulsing the pixel intensity, up to an amplitude factor. This fact will be relied upon when modulating a video stream such as to overlay image intensity pulses.

It turns out that the screen emission has a multipole expansion wherein both monopole and dipole contributions are proportional to the rate of change of the intensity I of (1). The higher order multipole contributions are proportional to the rate of change of moments of the current density j over the image, but since these contributions fall off rapidly with distance, they are not of practical importance in the present context. Pulsing the intensity of an image may involve different pulse amplitudes, frequencies, or phases for different parts of the image. Any or all of these features may be under subject control.

The question arises whether the screen emission can be strong enough to excite sensory resonances in people located at normal viewing distances from the monitor. This turns out to be the case, as shown by sensory resonance experiments and independently by measuring the strength of the emitted electric field pulses and comparing the results with the effective intensity window as explored in earlier work.

One-half Hertz sensory resonance experiments have been conducted with the subject positioned at least at normal viewing distance from a 15″ computer monitor that was driven by a computer program written in Visual Basic(R), version 6.0 (VB6). The program produces a pulsed image with uniform luminance and hue over the full screen, except for a few small control buttons and text boxes. In VB6, screen pixel colors are determined by integers R, G, and B, that range from 0 to 255, and set the contributions to the pixel color made by the basic colors red, green, and blue. For a CRT-type monitor, the pixel intensities for the primary colors may depend on the RGB values in a nonlinear manner that will be discussed. In the VB6 program the RGB values are modulated by small pulses ΔR, ΔG, ΔB, with a frequency that can be chosen by the subject or is swept in a predetermined manner. In the sensory resonance experiments mentioned above, the ratios ΔR/R, ΔG/G, and ΔB/B were always smaller than 0.02, so that the image pulses are quite weak. For certain frequencies near ½ Hz, the subject experienced physiological effects that are known to accompany the excitation of the ½ Hz sensory resonance as mentioned in the Background Section. Moreover, the measured field pulse amplitudes fall within the effective intensity window for the ½ Hz resonance, as explored in earlier experiments and discussed in the ‘874, ‘744, ‘922, and ‘304 patents. Other experiments have shown that the 2.4 Hz sensory resonance can be exited as well by screen emissions from monitors that display pulsed images.

These results confirm that, indeed, the nervous system of a subject can be manipulated through electromagnetic field pulses emitted by a nearby CRT or LCD monitor which displays images with pulsed intensity.

The various implementations of the invention are adapted to the different sources of video stream, such as video tape, DVD, a computer program, or a TV broadcast through free space or cable. In all of these implementations, the subject is exposed to the pulsed electromagnetic field that is generated by the monitor as the result of image intensity pulsing. Certain cutaneous nerves of the subject exhibit spontaneous spiking in patterns which, although rather random, contain sensory information at least in the form of average frequency. Some of these nerves have receptors that respond to the field stimulation by changing their average spiking frequency, so that the spiking patterns of these nerves acquire a frequency modulation, which is conveyed to the brain. The modulation can be particularly effective if it has a frequency at or near a sensory resonance frequency. Such frequencies are expected to lie in the range from 0.1 to 15 Hz.

An embodiment of the invention adapted to a VCR is shown in FIG. 1, where a subject 4 is exposed to a pulsed electric field 3 and a pulsed magnetic field 39 that are emitted by a monitor 2, labeled “MON”, as the result of pulsing the intensity of the displayed image. The image is here generated by a video casette recorder 1, labeled “VCR”, and the pulsing of the image intensity is obtained by modulating the composite video signal from the VCR output. This is done by a video modulator 5, labeled “VM”, which responds to the signal from the pulse generator 6, labeled “GEN”. The frequency and amplitude of the image pulses can be adjusted with the frequency control 7 and amplitude control 8. Frequency and amplitude adjustments can be made by the subject.

The circuit of the video modulator 5 of FIG. 1 is shown in FIG. 2, where the video amplifiers 11 and 12 process the composite video signal that enters at the input terminal 13. The level of the video signal is modulated slowly by injecting a small bias current at the inverting input 17 of the first amplifier 11. This current is caused by voltage pulses supplied at the modulation input 16, and can be adjusted through the potentiometer 15. Since the noninverting input of the amplifier is grounded, the inverting input 17 is kept essentially at ground potential, so that the bias current is is not influenced by the video signal. The inversion of the signal by the first amplifier 11 is undone by the second amplifier 12. The gains of the amplifiers are chosen such as to give a unity overall gain. A slowly varying current injected at the inverting input 17 causes a slow shift in the “pseudo-dc” level of the composite video signal, here defined as the short-term average of the signal. Since the pseudo-dc level of the chroma signal section determines the luminance, the latter is modulated by the injected current pulses. The chroma signal is not affected by the slow modulation of the pseudodc level, since that signal is determined by the amplitude and phase with respect to the color carrier which is locked to the color burst. The effect on the sync pulses and color bursts is of no consequence either if the injected current pulses are very small, as they are in practice. The modulated composite video signal, available at the output 14 in FIG. 2, will thus exhibit a modulated luminance, whereas the chroma signal is unchanged. In the light of the foregoing discussion about luminance and intensity, it follows that the modulator of FIG. 2 causes a pulsing of the image intensity I. It remains to give an example how the pulse signal at the modulation input 16 may be obtained. FIG. 3 shows a pulse generator that is suitable for this purpose, wherein the RC timer 21 (Intersil ICM7555) is hooked up for astable operation and produces a square wave voltage with a frequency that is determined by capacitor 22 and potentiometer 23. The timer 21 is powered by a battery 26, controlled by the switch 27. The square wave voltage at output 25 drives the LED 24, which may be used for monitoring of the pulse frequency, and also serves as power indicator. The pulse output may be rounded in ways that are well known in the art. In the setup of FIG. 1, the output of VCR 1 is connected to the video input 13 of FIG. 2, and the video output 14 is connected to the monitor 2 of FIG. 1.

In the preferred embodiment of the invention, the image intensity pulsing is caused by a computer program. As shown in FIG. 4, monitor 2, labeled “MON”, is connected to computer 31 labeled “COMPUTER”, which runs a program that produces an image on the monitor and causes the image intensity to be pulsed. The subject 4 can provide input to the computer through the keyboard 32 that is connected to the computer by the connection 33. This input may involve adjustments of the frequency or the amplitude or the variability of the image intensity pulses. In particular, the pulse frequency can be set to a sensory resonance frequency of the subject for the purpose of exciting the resonance.

The structure of a computer program for pulsing image intensity is shown in FIG. 6. The program may be written in Visual Basic(R) version 6.0 (VB6), which involves the graphics interface familiar from the Windows(R) operating system. The images appear as forms equipped with user controls such as command buttons and scroll bars, together with data displays such as text boxes. A compiled VB6 program is an executable file. When activated, the program declares variables and functions to be called from a dynamic link library (DLL) that is attached to the operating system; an initial form load is performed as well. The latter comprises setting the screen color as specified by integers R, G, and B in the range 0 to 255, as mentioned above. In FIG. 6, the initial setting of the screen color is labeled as 50. Another action of the form load routine is the computation 51 of the sine function at eight equally spaced points, I=0 to 7, around the unit circle. These values are needed when modulating the RGB numbers. Unfortunately, the sine function is distorted by the rounding to integer RGB values that occurs in the VB6 program. The image is chosen to fill as much of the screen area as possible, and it has spatially uniform luminance and hue.

The form appearing on the monitor displays a command button for starting and stopping the image pulsing, together with scroll bars 52 and 53 respectively for adjustment of the pulse frequency F and the pulse amplitude A. These pulses could be initiated by a system timer which is activated upon the elapse of a preset time interval. However, timers in VB6 are too inaccurate for the purpose of providing the eight RGB adjustment points in each pulse cycle. An improvement can be obtained by using the GetTickCount function that is available in the Application Program Interface (API) of Windows 95(R) and Windows 98(R). The GetTickCount function returns the system time that has elapsed since starting Windows, expressed in milliseconds. User activation of the start button 54 provides a tick count TN through request 55 and sets the timer interval to TT miliseconds, in step 56. TT was previously calculated in the frequency routine that is activated by changing the frequency, denoted as step 52.

Since VB6 is an event-driven program, the flow chart for the program falls into disjoint pieces. Upon setting the timer interval to TT in step 56, the timer runs in the background while the program may execute subroutines such as adjustment of pulse frequency or amplitude. Upon elapse of the timer interval TT, the timer subroutine 57 starts execution with request 58 for a tick count, and in 59 an upgrade is computed of the time TN for the next point at which the RGB values are to be adjusted. In step 59 the timer is turned off, to be reactivated later in step 67. Step 59 also resets the parameter CR which plays a role in the extrapolation procedure 61 and the condition 60. For ease of understanding at this point, it is best to pretend that the action of 61 is simply to get a tick count, and to consider the loop controled by condition 60 while keeping CR equal to zero. The loop would terminate when the tick count M reaches or exceeds the time TN for the next phase point, at which time the program should adjust the image intensity through steps 6365. For now step 62 is to be ignored also, since it has to do with the actual extrapolation procedure 61. The increments to the screen colors R1, G1, and B1 at the new phase point are computed according to the sine function, applied with the amplitude A that was set by the user in step 53. The number I that labels the phase point is incremented by unity in step 65, but if this results in I=8 the value is reset to zero in 66. Finally, the timer is reactivated in step 67, initiating a new ⅛-cycle step in the periodic progression of RGB adjustments.

A program written in this way would exhibit a large jitter in the times at which the RGB values are changed. This is due to the lumpiness in the tick counts returned by the GetTickCount function. The lumpiness may be studied separately by running a simple loop with C=GetTickCount, followed by writing the result C to a file. Inspection shows that C has jumped every 14 or 15 milliseconds, between long stretches of constant values. Since for a ½ Hz image intensity modulation the ⅛-cycle phase points are 250 ms apart, the lumpiness of 14 or 15 ms in the tick count would cause considerable inaccuracy. The full extrapolation procedure 61 is introduced in order to diminish the jitter to acceptable levels. The procedure works by refining the heavy-line staircase function shown in FIG. 8, using the slope RR of a recent staircase step to accurately determine the loop count 89 at which the loop controled by 60 needs to be exited. Details of the extrapolation procedure are shown in FIG. 7 and illustrated in FIG. 8. The procedure starts at 70 with both flags off, and CR=0, because of the assignment in 59 or 62 in FIG. 6. A tick count M is obtained at 71, and the remaining time MR to the next phase point is computed in 72. Conditions 77 and 73 are not satisfied and therefore passed vertically in the flow chart, so that only the delay block 74 and the assignments 75 are executed. Condition 60 of FIG. 6 is checked and found to be satisfied, so that the extrapolation procedure is reentered. The process is repeated until the condition 73 is met when the remaining time MR jumps down through the 15 ms level, shown in FIG. 8 as the transition 83. The condition 73 then directs the logic flow to the assignments 76, in which the number DM labeled by 83 is computed, and FLG1 is set. The computation of DM is required for finding the slope RR of the straight-line element 85. One also needs the “Final LM” 86, which is the number of loops traversed from step 83 to the next downward step 84, here shown to cross the MR=0 axis. The final LM is determined after repeatedly incrementing LM through the side loop entered from the FLG1=1 condition 77, which is now satisfied since FLG1 was set in step 76. At the transition 84 the condition 78 is met, so that the assignments 79 are executed. This includes computation of the slope RR of the line element 85, setting FLG2, and resetting FLG1. From here on, the extrapolation procedure increments CR in steps of RR while skipping tick counts until condition 60 of FIG. 6 is violated, the loop is exited, and the RGB values are adjusted.

A delay block 74 is used in order to stretch the time required for traversing the extrapolation procedure. The block can be any computation intensive subroutine such as repeated calculations of tangent and arc tangent functions.

As shown in step 56 of FIG. 6, the timer interval TT is set to 4/10 of the time TA from one RGB adjustment point to the next. Since the timer runs in the background, this arrangement provides an opportunity for execution of other processes such as user adjustment of frequency or amplitude of the pulses.

The adjustment of the frequency and other pulse parameters of the image intensity modulation can be made internally, i.e., within the running program. Such internal control is to be distinguished from the external control provided, for instance, in screen savers. In the latter, the frequency of animation can be modified by the user, but only after having exited the screen saver program. Specifically, in Windows 95(R) or Windows 98(R), to change the animation frequency requires stopping the screen saver execution by moving the mouse, whereafter the frequency may be adjusted through the control panel. The requirement that the control be internal sets the present program apart from so-called banners as well.

The program may be run on a remote computer that is linked to the user computer, as illustrated in FIG. 9. Although the monitor 2, labeled “MON”, is connected to the computer 31′, labeled “COMPUTER”, the program that pulses the images on the monitor 2 runs on the remoter computer 90, labeled “REMOTE COMPUTER”, which is connected to computer 31′ through a link 91 which may in part belong to a network. The network may comprise the Internet 92.

The monitor of a television set emits an electromagnetic field in much the same way as a computer monitor. Hence, a TV may be used to produce screen emissions for the purpose of nervous system manipulation. FIG. 5 shows such an arrangement, where the pulsing of the image intensity is achieved by inducing a small slowly pulsing shift in the frequency of the RF signal that enters from the antenna. This process is here called “frequency wobbling” of the RF signal. In FM TV, a slight slow frequency wobble of the RF signal produces a pseudo-dc signal level fluctuation in the composite video signal, which in turn causes a slight intensity fluctuation of the image displayed on the monitor in the same manner as discussed above for the modulator of FIG. 2. The frequency wobbling is induced by the wobbler 44 of FIG. 5 labeled “RFM”, which is placed in the antenna line 43. The wobbler is driven by the pulse generator 6, labeled “GEN”. The subject can adjust the frequency and the amplitude of the wobble through the tuning control 7 and the amplitude control 41. FIG. 10 shows a block diagram of the frequency wobbler circuit that employs a variable delay line 94, labelled “VDL”. The delay is determined by the signal from pulse generator 6, labelled “GEN”. The frequency of the pulses can be adjusted with the tuning control 7. The amplitude of the pulses is determined by the unit 98, labelled “MD”, and can be adjusted with the amplitude control 41. Optionally, the input to the delay line may be routed through a preprocessor 93, labelled “PRP”, which may comprise a selective RF amplifier and down converter; a complimentary up conversion should then be performed on the delay line output by a postprocessor 95, labelled “POP”. The output 97 is to be connected to the antenna terminal of the TV set.

The action of the variable delay line 94 may be understood as follows. Let periodic pulses with period L be presented at the input. For a fixed delay the pulses would emerge at the output with the same period L. Actually, the time delay T is varied slowly, so that it increases approximately by LdT/dt between the emergence of consecutive pulses at the device output. The pulse period is thus increased approximately by

ΔL=LdT/dt.  (4)

In terms of the frequency ∫, Eq. (4) implies approximately

Δ∫/∫=−dT/dt.  (5)

For sinusoidal delay T(t) with amplitude b and frequency g, one has

Δ∫/∫=−2πgb cos (2πgt),  (6)

which shows the frequency wobbling. The approximation is good for gb<<1, which is satisfied in practice. The relative frequency shift amplitude 2πgb that is required for effective image intensity pulses is very small compared to unity. For a pulse frequency g of the order of 1 Hz, the delay may have to be of the order of a millisecond. To accomodate such long delay values, the delay line may have to be implemented as a digital device. To do so is well within the present art. In that case it is natural to also choose digital implementations for the pulse generator 6 and the pulse amplitude controller 98, either as hardware or as software.

Pulse variability may be introduced for alleviating the need for precise tuning to a resonance frequency. This may be important when sensory resonance frequencies are not precisely known, because of the variation among individuals, or in order to cope with the frequency drift that results from chemical detuning that is discussed in the ‘874 patent. A field with suitably chosen pulse variability can then be more effective than a fixed frequency field that is out of tune. One may also control tremors and seizures, by interfering with the pathological oscillatory activity of neural circuits that occurs in these disorders. Electromagnetic fields with a pulse variability that results in a narrow spectrum of frequencies around the frequency of the pathological oscillatory activity may then evoke nerve signals that cause phase shifts which diminish or quench the oscillatory activity.

Pulse variability can be introduced as hardware in the manner described in the ‘304 patent. The variability may also be introduced in the computer program of FIG. 6, by setting FLG3 in step 68, and choosing the amplitude B of the frequency fluctuation. In the variability routine 46, shown in some detail in FIG. 13, FLG3 is detected in step 47, whereupon in steps 48 and 49 the pulse frequency F is modified pseudo randomly by a term proportional to B, every 4th cycle. Optionally, the amplitude of the image intensity pulsing may be modified as well, in similar fashion. Alternatively, the frequency and amplitude may be swept through an adjustable ramp, or according to any suitable schedule, in a manner known to those skilled in the art. The pulse variability may be applied to subliminal image intensity pulses.

When an image is displayed by a TV monitor in response to a TV broadcast, intensity pulses of the image may simply be imbedded in the program material. If the source of video signal is a recording medium, the means for pulsing the image intensity may comprise an attribute of recorded data. The pulsing may be subliminal. For the case of a video signal from a VCR, the pertinent data attribute is illustrated in FIG. 11, which shows a video signal record on part of a video tape 28. Depicted schematically are segments of the video signal in intervals belonging to lines in three image frames at different places along the tape. In each segment, the chroma signal 9 is shown, with its short-term average level 29 represented as a dashed line. The short-term average signal level, also called the pseudo-dc level, represents the luminance of the image pixels. Over each segment, the level is here constant because the image is for simplicity chosen as having a uniform luminance over the screen. However, the level is seen to vary from frame to frame, illustrating a luminance that pulses slowly over time. This is shown in the lower portion of the drawing, wherein the IRE level of the short-term chroma signal average is plotted versus time. The graph further shows a gradual decrease of pulse amplitude in time, illustrating that luminance pulse amplitude variations may also be an attribute of the recorded data on the video tape. As discussed, pulsing the luminance for fixed chrominance results in pulsing of the image intensity.

Data stream attributes that represent image intensity pulses on video tape or in TV signals may be created when producing a video rendition or making a moving picture of a scene, simply by pulsing the illumination of the scene. This is illustrated in FIG. 12, which shows a scene 19 that is recorded with a video camera 18, labelled “VR”. The scene is illuminated with a lamp 20, labelled “LAMP”, energized by an electric current through a cable 36. The current is modulated in pulsing fashion by a modulator 30, labeled “MOD”, which is driven by a pulse generator 6, labelled “GENERATOR”, that produces voltage pulses 35. Again, pulsing the luminance but not the chrominance amounts to pulsing the image intensity.

The brightness of monitors can usually be adjusted by a control, which may be addressable through a brightness adjustment terminal. If the control is of the analog type, the displayed image intensity may be pulsed as shown in FIG. 15, simply by a pulse generator 6, labeled “GEN”, that is connected to the brigthness adjustment terminal 88 of the monitor 2, labeled “MON”. Equivalent action can be provided for digital brightness controls, in ways that are well known in the art.

The analog component video signal from a DVD player may be modulated such as to overlay image intensity pulses in the manner illustrated in FIG. 17. Shown are a DVD player 102, labeled “DVD”, with analog component video output comprised of the luminance Y and chrominance C. The overlay is accomplished simply by shifting the luminance with a voltage pulse from generator 6, labeled “GENERATOR”. The generator output is applied to modulator 106, labeled “SHIFTER”. Since the luminance Y is pulsed without changing the chrominance C, the image intensity is pulsed. The frequency and amplitude of the image intensity pulses can be adjusted respectively with the tuner 7 and amplitude control 107. The modulator 105 has the same structure as the modulator of FIG. 2, and the pulse amplitude control 107 operates the potentiometer 15 of FIG. 2. The same procedure can be followed for editing a DVD such as to overlay image intensity pulses, by processing the modulated luminance signal through an analog-to-digital converter, and recording the resulting digital stream onto a DVD, after appropriate compression. Alternatively, the digital luminance data can be edited by electronic reading of the signal, decompression, altering the digital data by software, and recording the resulting digital signal after proper compression, all in a manner that is well known in the art.

The mechanism whereby a CRT-type monitor emits a pulsed electromagnetic field when pulsing the intensity of an image is illustrated in FIG. 14. The image is produced by an electron beam 10 which impinges upon the backside 88 of the screen, where the collisions excite phosphors that subsequently emit light. In the process, the electron beam deposits electrons 18 on the screen, and these electrons contribute to an electric field 3 labelled “E”. The electrons flow along the conductive backside 88 of the screen to the terminal 99 which is hooked up to the high-voltage supply 40, labelled “HV”. The circuit is completed by the ground connection of the supply, the video amplifier 87, labeled “VA”, and its connection to the cathodes of the CRT. The electron beams of the three electron guns are collectively shown as 10, and together the beams carry a current J. The electric current J flowing through the described circuit induces a magnetic field 39, labeled “B”. Actually, there are a multitude of circuits along which the electron beam current is returned to the CRT cathodes, since on a macroscopic scale the conductive back surface 88 of the screen provides a continuum of paths from the beam impact point to the high-voltage terminal 99. The magnetic fields induced by the currents along these paths partially cancel each other, and the resulting field depends on the location of the pixel that is addressed. Since the beams sweep over the screen through a raster of horizontal lines, the spectrum of the induced magnetic field contains strong peaks at the horizontal and vertical frequencies. However, the interest here is not in fields at those frequencies, but rather in emissions that result from an image pulsing with the very low frequencies appropriate to sensory resonances. For this purpose a diffuse electron current model suffices, in which the pixel discreteness and the raster motion of the electron beams are ignored, so that the beam current becomes diffuse and fills the cone subtended by the displayed image. The resulting low-frequency magnetic field depends on the temporal changes in the intensity distribution over the displayed image. Order-of-magnitude estimates show that the low-frequency magnetic field, although quite small, may be sufficient for the excitation of sensory resonances in subjects located at a normal viewing distance from the monitor.

The monitor also emits a low-frequency electric field at the image pulsing frequency. This field is due in part to the electrons 18 that are deposited on the screen by the electron beams 10. In the diffuse electron beam model, screen conditions are considered functions of the time t and of the Cartesian coordinates x and y over a flat CRT screen.

The screen electrons 18 that are dumped onto the back of the screen by the sum j(x,y,t) of the diffuse current distributions in the red, green, and blue electron beams cause a potential distribution V(x,y,t) which is influenced by the surface conductivity σ on the back of the screen and by capacitances. In the simple model where the screen has a capacitance distribution c(x,y) to ground and mutual capacitances between parts of the screen at different potentials are neglected, a potential distribution V(x,y,t) over the screen implies a surface charge density distribution

q=Vc(x,y),  (7)

and gives rise to a current density vector along the screen,

j s=−σgrads V,  (8)

where grads is the gradient along the screen surface. Conservation of electric charge implies

j=c{dot over (V)}−div s grad s V),  (9)

where the dot over the voltage denotes the time derivative, and divs is the divergence in the screen surface. The partial differential equation (9) requires a boundary condition for the solution V(x,y,t) to be unique. Such a condition is provided by setting the potential at the rim of the screen equal to the fixed anode voltage. This is a good approximation, since the resistance Rr between the screen rim and the anode terminal is chosen small in CRT design, in order to keep the voltage loss JRr to a minimum, and also to limit low-frequency emissions.

Something useful can be learned from special cases with simple solutions. As such, consider a circular CRT screen of radius R with uniform conductivity, showered in the back by a diffuse electron beam with a spatially uniform beam current density that is a constant plus a sinusoidal part with frequency ∫. Since the problem is linear, the voltage V due to the sinusoidal part of the beam current can be considered separately, with the boundary condition that V vanish at the rim of the circular screen. Eq. (9) then simplifies to

V″+V″/r−i2π∫cn V=−Jη/A, r≦R,  (10)

where r is a radial coordinate along the screen with its derivative denoted by a prime, η=1/σ is the screen resistivity, A the screen area, J the sinusoidal part of the total beam current, and i=(−1), the imaginary unit. Our interest is in very low pulse frequencies ∫ that are suitable for excitation of sensory resonances. For those frequencies and for practical ranges for c and η, the dimensionless number 2π∫cAη is very much smaller than unity, so that it can be neglected in Eq. (10). The boundary value problem then has the simple solution V(r)=J η4π(1-(r/R)2).(11)

In deriving (11) we neglected the mutual capacitance between parts of the screen that are at different potentials. The resulting error in (10) is negligible for the same reason that the i2π∫cAη term in (10) can be neglected.

The potential distribution V(r) of (11) along the screen is of course accompanied by electric charges. The field lines emanating from these charges run mainly to conductors behind the screen that belong to the CRT structure and that are either grounded or connected to circuitry with a low impedance path to ground. In either case the mentioned conductors must be considered grounded in the analysis of charges and fields that result from the pulsed component J of the total electron beam current. The described electric field lines end up in electric charges that may be called polarization charges since they are the result of the polarization of the conductors and circuitry by the screen emission. To estimate the pulsed electric field, a model is chosen where the mentioned conductors are represented together as a grounded perfectly conductive disc of radius R, positioned a short distance δ behind the screen, as depicted in FIG. 16. Since the grounded conductive disc carries polarization charges, it is called the polarization disc. FIG. 16 shows the circular CRT screen 88 and the polarization disc 101, briefly called “plates”. For small distances δ, the capacitance density between the plates of opposite polarity is nearly equal to ε/δ, where ε is the permittivity of free space. The charge distributions on the screen and polarization disc are respectively εV(r)/δ+q0 and −εV(r)/δ+q0, where the εV(r)/δ terms denote opposing charge densities at the end of the dense field lines that run between the two plates. That the part q0 is needed as well will become clear in the sequel.

The charge distributions εV(r)/δ+q0 and −εV(r)/δ+q0 on the two plates have a dipole moment with the density D(r)=εV(r)=J ηε4π(1-(r/R)2),(12)

directed perpendicular to the screen. Note that the plate separation δ has dropped out. This means that the precise location of the polarization charges is not critical in the present model, and further that δ may be taken as small as desired. Taking δ to zero, one thus arrives at the mathematical model of pulsed dipoles distributed over the circular CRT screen. The field due to the charge distribution q0 will be calculated later.

The electric field induced by the distributed dipoles (12) can be calculated easily for points on the centerline of the screen, with the result E(z)=V(0)R{2ρ/R-R/ρ-2z/R},(13)

where V(0) is the pulse voltage (11) at the screen center, ρ the distance to the rim of the screen, and z the distance to the center of the screen. Note that V(0) pulses harmonically with frequency ∫, because in (11) the sinusoidal part J of the beam current varies in this manner.

The electric field (13) due to the dipole distribution causes a potential distribution V(r)/2 over the screen and a potential distribution of −V(r)/2 over the polarization disc, where V(r) is nonuniform as given by (11). But since the polarization disc is a perfect conductor it cannot support voltage gradients, and therefore cannot have the potential distribution −V(r)/2. Instead, the polarization disc is at ground potential. This is where the charge distribution q0(r) comes in; it must be such as to induce a potential distribution V(r)/2 over the polarization disc. Since the distance between polarization disc and screen vanishes in the mathematical model, the potential distribution V(r)/2 is induced over the screen as well. The total potential over the monitor screen thus becomes V(r) of (11), while the total potential distribution over the polarization disc becomes uniformly zero. Both these potential distributions are as physically required. The electric charges q0 are moved into position by polarization and are partly drawn from the earth through the ground connection of the CRT.

In our model the charge distribution q0 is located at the same place as the dipole distribution, viz., on the plane z=0 within the circle with radius R. At points on the center line of the screen, the electric field due to the monopole distribution q0 is calculated in the following manner. As discussed, the monopoles must be such that they cause a potential φ0 that is equal to V(r)/2 over the disc with radius R centered in the plane z=0. Although the charge distribution q0(r) is uniquely defined by this condition, it cannot be calculated easily in a straightforward manner. The difficulty is circumvented by using an intermediate result derived from Excercise 2 on page 191 of Kellogg (1953), where the charge distribution over a thin disc with uniform potential is given. By using this result one readily finds the potential φ*(z) on the axis of this disc as φ*(z)=2πV*β(R1),(14)

where β(R1) is the angle subtended by the disc radius R1, as viewed from the point z on the disc axis, and V* is the disc potential. The result is used here in an attempt to construct the potential φ0(z) for a disc with the nonuniform potential V(r)/2, by the ansatz of writing the field as due to a linear combination of abstract discs with various radii R1 and potentials, all centered in the plane z=0. In the ansatz the potential on the symmetry axis is written φ0(z)=α β(R)+b∫0Rβ(R1)W,(15)

where W is chosen as the function 1−R1 2/R2, and the constants a and b are to be determined such that the potential over the plane z=0 is V(r)/2 for radii r ranging from 0 to R, with V(r) given by (11). Carrying out the integration in (15) gives

φ0(z)=αβ(R)−b{(1+z 2 /R 2)β(R)−|z|/R}.  (16)

In order to find the potential over the disc r<R in the plane z=0, the function φ0(z) is expanded in powers of z/R for 0<z<R, whereafter the powers zn are replaced by rnPn(cosθ), where the Pn are Legendre polynomials, and (r,θ) are symmetric spherical coordinates centered at the screen center. This procedure amounts to a continuation of the potential from the z-axis into the half ball r<R, z>0, in such a manner that the Laplace equation is satisfied. The method is discussed by Morse and Feshbach (1953). The “Laplace continuation” allows calculation of the potential φ0 along the surface of the disc r<R centered in the plane z=0. The requirement that this potential be V(r)/2 with the function V(r) given by (11) allows solving for the constants a and b, with the result

a=−V(0)/π, b=−2V(0)/π.  (17)

Using (17) in (16) gives φ0(z)=V(0)π[(1+2z2/R2)β(R)-2z/R],(18)

and by differentiation with respect to z one finally finds E0(z)=V(0)π R(z/z)[4-(R/ρ)2-4β(R)z/R](19)

for the electric field on the center line of the screen brought about by the charge distribution q0(z).

The center-line electric field is the sum of the part (13) due to distributed pulsed dipoles and part (19) due to distributed pulsed monopoles. Although derived for circular screens, the results may serve as an approximation for other shapes, such as the familiar rounded rectangle, by taking R as the radius of a circle that has the same area as the screen.

For two CRT-type monitors the pulsed electric field due to image intensity pulsing has been measured at several points on the screen center line for pulse frequencies of ½ Hz. The monitors were the 15″ computer monitor used in the sensory resonance experiments mentioned above, and a 30″ TV tube. The experimental results need to be compared with the theory derived above. Since R is determined by the screen area, the electric fields given by (13) and (19) have as only free parameter the pulse voltage V(0) at the screen center. The amplitude of this voltage can therefore be determined for the tested monitors by fitting the experimental data to the theoretical results. Prior to fitting, the data were normalized to an image that occupies the entire screen and is pulsed uniformly with a 100% intensity amplitude. The results of the one-parameter fit are displayed in FIG. 18, which shows the theoretical graph 100, together with the normalized experimental data points 103 for the 15− computer monitor and for the 30″ TV tube. FIG. 18 shows that the developed theory agrees fairly well with the experimental results. From the best fit one can find the center-screen voltage pulse amplitudes. The results, normalized as discussed above, are |V(0)|=266.2 volt for the 15″ computer monitor and |V(0)|=310.1 volt for the 30″ TV tube. With these amplitudes in hand, the emitted pulsed electric field along the center line of the monitors can be calculated from the sum of the fields (13) and (19). For instance, for the 15″ computer monitor with 1.8% RGB pulse modulation used in the ½ Hz sensory resonance experiments mentioned above, the pulsed electric field at the center of the subject, located at z=70 cm on the screen center line, is calculated as having an amplitude of 0.21 V/m. That such a pulsed electric field, applied to a large portion of the skin, is sufficient for exciting the ½ Hz sensory resonance is consistent with experimental results discussed in the ‘874 patent.

In deriving (11), the dimensionless number 2π∫cAη was said to be much smaller than unity. Now that the values for |V(0)| are known, the validity of this statement can be checked. Eq. (11) implies that |V(0)| is equal to η|J|/4π. The sum of the beam currents in the red, green, and blue electron guns for 100% intensity modulation is estimated to have pulse amplitudes |J| of 0.5 mA and 2.0 mA respectively for the 15″ computer monitor and the 30″ TV tube. Using the derived values for |V(0)|, one arrives at estimates for the screen resistivity η as 6.7 MΩ/square and 1.9 MΩ/square respectively for the 15″ computer monitor and the 30″ TV tube. Estimating the screen capacity cA as 7 pf and 13 pf, 2π∫cAη is found to be 148×10−6 and 78×10−6, respectively for the 15″ computer monitor and the 30″ TV tube. These numbers are very small compared to unity, so that the step from (10) to (11) is valid.

The following procedures were followed in preparing pulsed images for the field measurements. For the 15″ computer monitor the images were produced by running the VB6 program discussed above. The pulsed image comprised the full screen with basic RGB values chosen uniformly as R=G=B=127, with the exception of an on/off button and a few data boxes which together take up 17% of the screen area. The image intensity was pulsed by modifying the R, G, and B values by integer-rounded sine functions ΔR(t), ΔG(t), and ΔB(t), uniformly over the image, except at the button and the data boxes. The measured electric field pulse amplitudes were normalized to a pulsed image that occupies all of the screen area and has 100% intensity modulation for which the image pulses between black and the maximum intensity, for the fixed RGB ratios used. The image intensity depends on the RGB values in a nonlinear manner that will be be discussed. For the measurements of the pulsed electric field emitted by 30″ TV tube, a similar image was used as for the 15″ computer monitor. This was done by playing back a camcorder recording of the computer monitor display when running the VB6 program, with 40% pulse modulation of R, G, and B.

In front of the monitor, i.e., for z>0, the parts (13) and (19) contribute about equally to the electric field over a practical range of distances z. When going behind the monitor where z is negative the monopole field flips sign so that the two parts nearly cancel each other, and the resulting field is very small. Therefore, in the back of the CRT, errors due to imperfections in the theory are relatively large. Moreover our model, which pretends that the polarization charges are all located on the polarization disc, fails to account for the electric field flux that escapes from the outer regions of the back of the screen to the earth or whatever conductors happen to be present in the vincinity of the CRT. This flaw has relatively more serious consequences in the back than in front of the monitor.

Screen emissions in front of a CRT can be cut dramatically by using a grounded conductive transparent shield that is placed over the screen or applied as a coating. Along the lines of our model, the shield amounts to a polarization disc in front of the screen, so that the latter is now sandwiched between to grounded discs. The screen has the pulsed potential distribution V(r) of (11), but no electric flux can escape. The model may be modified by choosing the polarization disc in the back somewhat smaller than the screen disc, by a fraction that serves as a free parameter. The fraction may then be determined from a fit to measured fields, by minimizing the relative standard deviation between experiment and theory.

In each of the electron beams of a CRT, the beam current is a nonlinear function of the driving voltage, i.e., the voltage between cathode and control grid. Since this function is needed in the normalization procedure, it was measured for the 15″ computer monitor that has been used in the ½ Hz sensory resonance experiments and the electric field measurements. Although the beam current density j can be determined, it is easier to measure the luminance, by reading a light meter that is brought right up to the monitor screen. With the RGB values in the VB6 program taken as the same integer K, the luminance of a uniform image is proportional to the image intensity I. The luminance of a uniform image was measured for various values of K. The results were fitted with

I=c 1 K γ,  (20)

where c1 is a constant. The best fit, with 6.18% relative standard deviation, was obtained for γ=2.32.

Screen emissions also occur for liquid crystal displays (LCD). The pulsed electric fields may have considerable amplitude for LCDs that have their driving electrodes on opposite sides of the liquid crystal cell, for passive matrix as well as for active matrix design, such as thin film technology (TFT). For arrangements with in-plane switching (IPS) however, the driving electrodes are positioned in a single plane, so that the screen emission is very small. For arrangements other than IPS, the electric field is closely approximated by the fringe field of a two-plate condenser, for the simple case that the image is uniform and extends over the full screen. For a circular LCD screen with radius R, the field on the center line can be readily calculated as due to pulsed dipoles that are uniformly distributed over the screen, with the result

E d(z)=(½)VR 2/(z 2 +R 2){fraction (3/2)},  (21)

where Ed(z) is the amplitude of the pulsed electric field at a distance z from the screen and V is a voltage pulse amplitude, in which the aperture ratio of the LCD has been taken into account. Eq. (21) can be used as an approximation for screens of any shape, by taking R as the radius of a circle with the same area as the screen. The result applies to the case that the LCD does not have a ground connection, so that the top and bottom electrodes are at opposite potential, i.e., V/2 and −V/2.

If one set of LCD electrodes is grounded, monopoles are needed to keep these electrodes at zero potential, much as in the case of a CRT discussed above. The LCD situation is simpler however, as there is no charge injection by electron beams, so that the potentials on the top and bottom plates of the condenser in the model are spatially uniform. From (14) it is seen that monopoles, distributed over the disc of radius R in the plane z=0 such as to provide on the disc a potential V/2, induce on the symmetry axis a potential φ(z)=1πV β(R).(22)

Differentiating with respect to z gives the electric field on the symmetry axis Em(z)=zVRzπ(z2+R2),(23)

induced by the pulsed monopoles. For an LCD with one set of electrodes grounded, the pulsed electric field for screen voltage pulse amplitude V at a distance z from the screen on the center line has an amplitude that is the sum of the parts (21) and (23). The resultant electric field in the back is relatively small, due to the change in sign in the monopole field that is caused by the factor z/|z|. Therefore, screen emissions in front of an LCD can be kept small simply by having the grounded electrodes in front.

As a check on the theory, the pulsed electric field emitted by the 3″ LCD-TFT color screen of the camcorder mentioned above has been measured at eleven points on the center line of the screen, ranging from 4.0 cm to 7.5 cm. The pulsed image was produced by playing back the video recording of the 15″ computer monitor that was made while running the VB6 program discussed above, for a image intensity pulse frequency of ½ Hz, R=G=B=K, modulated around K=127 with an amplitude ΔK=51. After normalization to a uniform full screen image with 100% intensity modulation by using the nonlinear relation (20), the experimental data were fitted to the theoretical curve that expresses the sum of the fields (21) and (23). The effective screen pulse voltage amplitude V was found to be 2.1 volt. The relative standard deviation in V for the fit is 5.1%, which shows that theory and experiment are in fairly good agreement.

Certain monitors can cause excitation of sensory resonances even when the pulsing of displayed images is subliminal, i.e., unnoticed by the average person. When checking this condition on a computer monitor, a problem arises because of the rounding of RGB values to integers, as occurs in the VB6 program. For small pulse amplitude the sine wave is thereby distorted into a square wave, which is easier to spot. This problem is alleviated somewhat by choosing ΔR=0, ΔG=0, and ΔB=2, since then the 8 rounded sine functions around the unit circle, multiplied with the pulse amplitude ΔB=2 become the sequence 1, 2 11 2, 1, −1 −2, −2, −1, etc, which is smoother to the eye than a square wave. Using the VB6 program and the 15″ computer monitor mentioned above with R=71, G=71, and B=233, a ½ Hz pulse modulation with amplitudes ΔR=ΔG=0 and ΔB=2 could not be noticed by the subject, and is therefore considered subliminal. It is of interest to calculate the screen emission for this case, and conduct a sensory resonance experiment as well. A distance z=60 cm was chosen for the calculation and the experiment. Using Eq. (20), the image intensity pulse modulation for the case is found to be 1.0% of the maximum intensity modulation. Using R=13.83 cm together with |V(0)|=266.2 V for the 15″ computer monitor, and the theoretical graph 100 of FIG. 18, the pulsed electric field at z=60 cm was found to have an amplitude of 138 mV/m. In view of the experimental results discussed in the ‘874 and ‘922 patents, such a field, used at a pulse frequency chosen appropriately for the ½ Hz sensory resonance and applied predominantly to the face, is expected to be sufficient for exciting the ½ Hz sensory resonance. A confirmation experiment was done by running the VB6 program with the discussed settings and the 15″ monitor. The center of the subject’s face was positioned on the screen center line, at a distance of 60 cm from the screen. A frequency sweep of −0.1% per ten cycles was chosen, with an initial pulse frequency of 34 ppm. Full ptosis was experienced by the subject at 20 minutes into the run, when the pulse frequency was f=31.76 ppm. At 27 minutes into the run, the frequency sweep was reversed to +0.1% per ten cycles. Full ptosis was experienced at f=31.66 ppm. At 40 minutes into the run, the frequency sweep was set to −0.1% per ten cycles. Full ptosis occurred at f=31.44 ppm. The small differences in ptosis frequency are attributed to chemical detuning, discussed in the Background Section. It is concluded that the ½ Hz sensory resonance was excited in this experiment by screen emissions from subliminal image pulsing on the 15″ computer monitor at a distance of 60 cm. For each implementation and embodiment discussed, the image pulsing may be subliminal.

The human eye is less sensitive to changes in hue than to changes in brightness. In composite video this fact allows using a chrominance bandwidth that is smaller than the luminance bandwidth. But it also has the consequence that pulsing of the chrominance for fixed luminance allows larger pulse amplitudes while staying within the subliminal pulse regime. Eq. (3) shows how to pulse the chrominance components R-Y and B-Y while keeping Y fixed; for the change in pixel intensity one then has

ΔI h=0.491Δ(RY)+0.806Δ(BY).  (24)

Luminance pulses with fixed chrominance give a change in pixel intensity

ΔI 1=3ΔY.  (25)

Of course, pure chrominance pulses may be combined with pure luminance pulses; an instance of such combination has been mentioned above.

The subliminal region in color space needs to be explored to determine how marginally subliminal pulses ΔR, ΔG, and ΔB depend on RGB values. Prior to this, the condition for image pulses to be subliminal should not be phrased solely in terms of the percentage of intensity pulse amplitude. The subliminal image pulsing case considered above, where the monitor is driven by a VB6 computer program with R=G=71, B=233, and ΔR=ΔG=0, ΔB=2 for full-screen images will be referred to as “the standard subliminal image pulsing”.

In the interest of the public we need to know the viewing distances at which a TV with subliminally pulsed images can cause excitation of sensory resonances. A rough exploration is reported here which may serve as starting point for further work. The exploration is limited to estimating the largest distance z=zmax along the center line of the 30″ TV at which screen emissions can excite the ½ Hz resonance, as determined by the ptosis test. The TV is to display an image which undergoes the standard subliminal pulsing as defined above. It would be best to perform this test with the 30″ TV on which the subliminally pulsed images are produced by means of a video. Since such a video was not available, the ptosis test was conducted instead with a pulsed electric field source consisting of a small grounded doublet electrode of the type discussed in the ‘874 patent. The doublet was driven with a sinusoidal voltage of 10 V amplitude, and the center of mass of the subject was located on the center line of the doublet at a distance z=zd=323 cm. The doublet electrodes are rectangles of 4.4 cm by 4.7 cm. At the large distance zd there is whole-body exposure to the field, so that the bulk effect discussed in the ‘874 patent comes into play, as is expected to happen also at the distance zmax from the 30″ TV monitor. The subject was facing the “hot” electrode of the doublet, so that at the subject center the electric field was the sum of the parts (21) and (23), for positive values of z. It was thought important to use a sine wave, since that would be the “commercially” preferred pulse shape which allows larger pulse amplitudes without being noticed. The only readily available sine wave generator with the required voltage was an oscillator with a rather coarse frequency control that cannot be set accurately, although the frequency is quite stable and can be measured accurately. For the experiment a pulse frequency of 0.506 Hz was accepted, although it differs considerably from the steady ptosis frequency for this case. The subject experienced several ptosis cycles of moderate intensity, starting 8 minutes into the experiment run. It is concluded that the ½ Hz sensory resonance was excited, and that the stimulating field was close to the weakest field capable of excitation. From Eqs. (21) and (23), the electric field pulse amplitude at the center of mass of the subject was found to be 7.9 mV/m. That an electric field with such a small pulse amplitude, applied to the whole body, is capable of exciting the ½ Hz sensory resonance is consistent with experimental results reported in the ‘874 patent, although these were obtained for the 2.4 Hz resonance. Next, the distance zmax was determined at which the 30″ TV tube with 1% image intensity pulse amplitude produces an electric field with a pulse amplitude of 7.9 mV/m, along the center line of the screen. From Eqs. (13) and (19) one finds zmax=362.9 cm. At more than 11 feet, this is a rather large distance for viewing a 30″ TV. Yet, the experiment and theory discussed show that the ½ Hz sensory resonance can be excited at this large distance, by pulsing the image intensity subliminally. Of course, the excitation occurs as well for a range of smaller viewing distances. It is thus apparent that the human nervous system can be manipulated by screen emissions from subliminal TV image pulses.

Windows 95, Windows 98, and Visual Basic are registered trademarks of Microsoft Corporation.

The invention is not limited by the embodiments shown in the drawings and described in the specification, which are given by way of example and not of limitation, but only in accordance with the scope of the appended claims.

Citas de patentes
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US3592965 * 22 Ago 1967 13 Jul 1971 Diaz Zaid Apparatus for converting cathode ray portrayable information to spacial images
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US5450859 * 6 Jul 1993 19 Sep 1995 The Catholic University Of America Protection of living systems from adverse effects of electric, magnetic and electromagnetic fields
US5782874 24 Ene 1997 21 Jul 1998 Loos; Hendricus G. Method and apparatus for manipulating nervous systems
US5800481 28 Dic 1995 1 Sep 1998 Loos; Hendricus G. Thermal excitation of sensory resonances
US5899922 14 Nov 1997 4 May 1999 Loos; Hendricus G. Manipulation of nervous systems by electric fields
US5935054 7 Jun 1995 10 Ago 1999 Loos; Hendricus G. Magnetic excitation of sensory resonances
US6017302 31 Oct 1997 25 Ene 2000 Loos; Hendricus G. Subliminal acoustic manipulation of nervous systems
US6081744 17 Jul 1998 27 Jun 2000 Loos; Hendricus G. Electric fringe field generator for manipulating nervous systems
US6091994 31 Ago 1998 18 Jul 2000 Loos; Hendricus G. Pulsative manipulation of nervous systems
US6167304 17 Jun 1999 26 Dic 2000 Loos; Hendricus G. Pulse variability in electric field manipulation of nervous systems
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Otras citas
1 C.A.Terzuolo and T.H.Bullock “Measurement of imposed voltage gradient adequate to modulate neuronal firing” Proc. Nat. Acad. Sci, Physiology 42,687-94, 1956.
2 M.Hutchison “Megabrain” p.232-3 Ballantine Books New York 1991.
3 N.Wiener “Nonlinear problems in random theory” p.71-72 John Wiley New York 1958.
4 O.Kellogg”Foundations of Potential Theory“p. 191 Dover, 1953.
5 P.M.Morse and H.Feshbach”Methods of Theoretical Physics“p. 1267 McGraw-Hill New York, 1953.

Citada por
Patente citante Fecha de presentación Fecha de publicación Solicitante Título
US8942780 * 29 Sep 2010 27 Ene 2015 Ascension Technology Corporation DC magnetic-based position and orientation monitoring system for tracking medical instruments
US9286913 * 28 Mar 2011 15 Mar 2016 Nec Corporation Atmosphere expression word selection system, atmosphere expression word selection method, and program
US20110082366 * 7 Abr 2011 Ascension Technology Corporation DC magnetic-based position and orientation monitoring system for tracking medical instruments
US20130024192 * 28 Mar 2011 24 Ene 2013 Nec Corporation Atmosphere expression word selection system, atmosphere expression word selection method, and program

Clasificación de EE.UU. 600/27, 600/545
Clasificación internacional A61N2/00, A61N2/04
Clasificación cooperativa A61N2/00
Clasificación europea A61N2/00

Eventos legales
Fecha Código Evento Descripción
9 Jul 2006 FPAY Fee payment
Year of fee payment: 4
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25 May 2014 FPAY Fee payment
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Conocimiento, Consciencia, Educacion

Mass Animal Deaths for 2016


If the information on this page causes you concern regarding the future, then see what must I do to be saved?

Below is a list of worldwide mass animal deaths for 2016, with pages also for mass die offs from the previous 5 years. There are animals dying all over the world today in huge numbers, due to the polluted state of the sea and air. Millions of Fish and massive numbers of whales and dolphins are washing ashore dead. Birds are falling dead out of the sky, and millions of poultry are dying from avian flu. The animals of the land like cattle are also dying in large numbers from disease. Although animals and fish have been dying all throughout history, we have not seen the massive consistant numbers that we are seeing today. Please remember! This is just one of the MANY signs of the last days.

In many of these events people from all walks of life are saying that they have never seen anything like this before.

Worldwide Bee Die offs     Our Dying Planet

INFO: 970 MILLION Monarch butterflies – a major pollinator – have been killed since 1990 in America by Monsanto’s herbicide, wiping out 90 percent of America’s total population of Monarchs. (source)

INFO: MASSIVE die off that went unreported in 2011. MILLIONS of sea urchins and sea stars die suddenly along 60 miles of California coast in what was ‘one of the most unusual and dramatic die-offs marine biologists have ever recorded.’ (source and here)

Hosea 4:1-3 …’Hear the word of the Lord, ye children of Israel: for the Lord hath a controversy with the inhabitants of the land, because there is no truth, nor mercy, nor knowledge of God in the land. By swearing, and lying, and killing, and stealing, and committing adultery, they break out, and blood toucheth blood. Therefore shall the land mourn, and every one that dwelleth therein shall languish, with the beasts of the field, and with the fowls of heaven; yea, the fishes of the sea also shall be taken away.’

Revelation 11:18 …’And the nations were angry, and thy wrath is come, and the time of the dead, that they should be judged, and that thou shouldest give reward unto thy servants the prophets, and to the saints, and them that fear thy name, small and great; and shouldest destroy them which destroy the earth.’

MASS ANIMAL DEATH LIST                                  144 Known MASS Death Events in 51 Countries (or Territory)

28th March 2016 – 19 dead dolphins found washed up along the coast of Georgia. Link

27th March 2016 – 11,000 ducks killed due to avian flu in Icheon, South Korea. Link

25th March 2016 – Massive die off of fish in a lake in Nanhu District, China. Link

25th March 2016 – 5,000 fish die in a fish farm in Labuan, Malaysia. Link

24th March 2016 – Massive die off of fish ‘due to unknown disease’ in Maniema, Democratic Republic of the Congo. Link

23rd March 2016 – Thousands of TONS of oysters die off in the Mekong Delta, Vietnam. Link

23rd March 2016 – Tens of Thousands of fish die in a lake in Krabi, Thailand. LinkDead fish in Indian River Lagoon

22nd March 2016 – Thousands of dead fish continue to wash up along Indian River Lagoon in Florida, America. Link

22nd March 2016 – Dozens of dead birds found along a road in Elmira, New York, America. Link

20th March 2016 – 350,000+ cattle dead due to cold weather in the Mongolian Steppes, Mongolia. Link

20th March 2016 – Hundreds of dead fish appear in a canal in Tamaulipas, Mexico. Link

19th March 2016 – Thousands of fish dying in fish farms ‘due to heat’ in Taiping, Malaysia. Link

19th March 2016 – Hundreds of fish dead in a lake in Devarabeesanahalli, India. Link

19th March 2016 – Die off of fish found washed up on a beach in Calodyne, Mauritius. Link

18th March 2016 – 10 dead sea lions found this week on beaches of Vancouver Island, Canada. Link

17th March 2016 – Large amount of dead fish found washed up on a beach in Rayong, Thailand. Dead fish in ThailandLink

17th March 2016 – Large die off of fish along 10km of coastline in Kimberley, Australia. Link

16th March 2016 – Hundreds of dead crows found near Battle Creek in Michigan, America. Link

16th March 2016 – UPDATE: sea bird die off now up to 36,000 in Alaska, America. Link

16th March 2016 – Thousands of birds dead due to avian flu in Banyuwangi, Indonesia. Link

15th March 2016 – Hundreds of dead fish washing up at Cape Canaveral and Cocoa Beach in Florida, America. Link

15th March 2016 – Thousands of fish and 6 crocodiles dead as river runs dry in Yadgir, India. Link

13th March 2016 – Hundreds of dead fish found washed ashore along McPhee Reservoir in Colorado, America. Link

12th March 2016 – Thousands of dead fish found in Lower Lake Mary in Arizona, America. Link

12th March 2016 – 16,880 chickens killed due to outbreak of avian flu in Changhua, Taiwan. Link

12th March 2016 – Hundreds of dead fish found in a lake in Oran, Algeria. Link

11th March 2016 – Thousands of dead fish wash up on shores of a lagoon in Cochabamba, Bolivia. Link

10th March 2016 – 3 rare whales found dead on Northland beach in New Zealand. Link

9th March 2016 – 160,000+ birds killed due to new avian flu outbreaks in Plateau and Kano, Nigeria. Link

8th March 2016 – MASSIVE – 21 MILLION+ salmon dead due to algae bloom in Chiloe and Aysen region, Chile. Link

8th March 2016 – 7+ TONS of dead fish found in a river in Tres Lagoas, Brazil. Link

8th March 2016 – 1 MILLION+ sea slugs wash up dead on a beach in Phuket, Thailand. Link

7th March 2016 – Thousands of dead fish wash up in Bengaluru Lakes, India. LinkDead fish in India

7th March 2016 – Thousands of dead fish appear in the Bobos river in Mexico. Link

6th March 2016 – Massive fish kill, ‘biggest ever’ in a river in Queensland, Australia. Link

4th March 2016 – Large number of dead sea birds washing up on beaches in Volusia, Florida, America. Link

4th March 2016 – 7 TONS of dead fish have washed up in Cape Town, South Africa. Link

3rd March 2016 – 28 dead dolphins found during the past 2 months along the west coast of Ireland. Link

3rd March 2016 – 23 dolphins found dead on beaches south of Buenos Aires, Argentina. Link

3rd March 2016 – Several TONS of dead fish found in the Chicamocha River, Colombia. Link

2nd March 2016 – Massive die off of fish along 7km of river in Periyar, India. Link

2nd March 2016 – Hundreds of fish die in Devigere lake, India. Link

1st March 2016 – 860,000 cattle dead due to severe drought and rainstorms in Bolivia. Link

1st March 2016 – Thousands of dead fish have washed up in a lake in Victoria, Australia. Link

29th February 2016 – 16 dead whales have washed up dead during past couple of months in Baja California, Mexico. Link

29th February 2016 – 400,000 salmon dead due to ‘lice treatment and disease’ in fish farms in Norway. Link

29th February 2016 – 12,000+ chickens and geese killed due to avian flu in Taiwan. Link

26th February 2016 – 800 dead ducks removed from reservoirs in Caceres, Spain. Link

26th February 2016 – Hundreds of dead sea lions have washed up, during past few months along the coast of Chile and Peru. Link

25th February 2016 – 40+ Olive Ridley turtles found dead along the coast of Odisha, India. LinkDead turtles in Odisha

25th February 2016 – 30+ TONS of dead fish removed from a lake in Ningde, China. Link

23rd February 2016 – 100,000 cattle dead due to drought throughout Colombia. Link

23rd February 2016 – 41,000 birds dead due to another outbreak of avian flu in Taiwan. Link

22nd February 2016 – 129 dead sea turtles have washed up this month in Clearwater, Florida, America. Link

22nd February 2016 – 20 TONS of fish die in Lake Maninjau, Indonesia. Link

22nd February 2016 – Massive die off of fish along a river in Surat, India. Link

21st February 2016 – Dozens of dead birds found along a highway in Ohio, America. Link

20th February 2016 – 6 dead dolphins have washed up this year in Yucatan, Mexico. Link

19th February 2016 – 118 turtles found dead along the coast of Oaxaca, Mexico. Link

18th February 2016 – Hundreds of dead sea birds found washed up in Trujillo, Peru. Link

18th February 2016 – Hundreds of birds fall dead from sky in Odessa, Ukraine. Link

17th February 2016 – MASSIVE – 1000+ TONS of fish have died in fish farms along the Mekong Delta, Vietnam. Link

17th February 2016 – Hundreds of dead fish found in a lake in Chapultepec, Mexico. Link

16th February 2016 – Tens of thousands of cattle dead, due to drought in Southern Zimbabwe. Link

16th February 2016 – 445 dead turtles found washed up along beaches in Guerrero, Mexico. LinkDead turtles in Guerrero

16th February 2016 – Large die off of fish along the waterways of Karatay in Turkey. Link

15th February 2016 – Thousands of fish are dying along the Porce River in Colombia. Link

13th February 2016 – MASSIVE – 150,000 penguins die after giant iceberg becomes grounded in Antarctica. Link

11th February 2016 – Hundreds of dead fish wash up on beaches in Mauritius. Link

11th February 2016 – Thousands of fish continue to die along the Nile Delta in Egypt. Link

11th February 2016 – Dozens of monkeys are dying off, ‘a mystery’ in the forests of Nicaragua. Link

11th February 2016 – Thousands of dead fish are washing up on beaches in Fiji. Link

11th February 2016 – Hundreds of dead fish found in the waters of Oosterhout, Netherlands. Link

11th February 2016 – 5,800 chickens killed due to avain flu in Tainan, Taiwan. Link

11th February 2016 – Masses of dead fish wash up on beaches in Montevideo, Uruguay. Link

10th February 2016 – Thousands of dead fish wash up in the waters of New Caledonia. Link

10th February 2016 – Hundreds of dead eels found in a creek in Marlborough, New Zealand. Link

10th February 2016 – Dozens of dead sea birds, plus other marine creatures found on a beach in Malibu, America. Link

9th February 2016 – Dozens of cattle dying off due to unknown disease in Warrap State, Sudan. Link

6th February 2016 – Hundreds of dead fish wash ashore ‘due to red tide’ in Florida, America. Link

5th February 2016 – MILLIONS of Oysters are dead due to disease in southern Tasmania, Australia. Link

4th February 2016 – Dozens of birds suddenly die in Wichita, Kansas, America. Link

4th February 2016 – Dozens of Pelicans dying, reason unknown on Grand Isle, Louisiana, America. Link

4th February 2016 – 6 dead whales have washed ashore along the coast of East England. Link

4th February 2016 – Hundreds of dead fish wash ashore, ‘sparking fear’ in La Brea, Trinidad and Tobago. Link

4th February 2016 – Massive die off of fish in a lagoon in Marica, Brazil. Link

3rd February 2016 – 8 more dead whales found along coast of Friedrichskoog, Germany. LinkDead whales in Germany

3rd February 2016 – 700,000 birds killed due to avian flu in Kurdistan. Link

3rd February 2016 – 41,000 chickens have died from Newcastle disease in Luzon, Philippines. Link

3rd February 2016 – 36 TONS of fish have died in farms, ‘due to read tide’ in Hong Kong. Link

3rd February 2016 – Dozens of dead turtles found along beaches in Tecpan de Galeana, Mexico. Link

3rd February 2016 – Hundreds of dead fish found in ponds in Queensland, Australia. Link

3rd February 2016 – 11,500 Chickens killed due to avian flu in Changhua County, Taiwan. Link

1st February 2016 – 1 Whale and 3 dolphins wash up dead along Oregon-Washington Coast, America. Link

1st February 2016 – Hundreds of dead fish found in a lake in Texas, America. Link

1st February 2016 – Mass deaths of fish in Shing Mun River, Hong Kong. Link

1st February 2016 – Masses of dead fish discovered along 1km of river in Hubei province, China. Link

31st January 2016 – Large die off of fish, ‘never seen before’ in Snake River, Washington, America. Link

30th January 2016 – 500+ camels have died from ‘mysterious disease’ in Marsabit, Kenya. Link

30th January 2016 – 19+ TONS of dead fish found in a lake in Goias, Brazil. Link

29th January 2016 – 2.5 Million birds killed due to avian flu in 18 states of Nigeria. Link

28th January 2016 – 22,000+ sea birds found dead, ‘biggest die off ever recorded’, along beaches Dead birds in alaskain Alaska, America. Link

28th January 2016 – Hundreds of sea birds found dead on a beach on Sea of Galilee, Israel. Link

28th January 2016 – 8,900+ Buffalo and cows killed by cold in Northern Vietnam. Link

28th January 2016 – HUNDREDS OF TONS of fish have died in farms in Ha Tinh province, Vietnam. Link

27th January 2016 – 400 TONS of fish have died due to cold in Ubon Ratchathani, Thailand. Link

27th January 2016 – Thousands of fish have died in a reservoir in Nevada, America. Link

26th January 2016 – Thousands of dead fish wash ashore on Martha’s Vineyard, Massachusetts, America. Link

25th January 2016 – Thousands of chickens killed by ‘mysterious disease’ in Kampong Thom, Cambodia. Link

25th January 2016 – Thousands of dead starfish are washing ashore at Port St. Joe, Florida, Dead Starfish in FloridaAmerica. Link

25th January 2016 – 1000+ swans dead due to avian flu in Hunan, China. Link

25th January 2016 – Hundreds of thousands of fish found dead in a lake in Samut Prakan, Thailand. Link

21st January 2016 – 24,000 Fowls, 250 Peacocks, and other birds killed due to avain flu in Adamawa, Nigeria. Link

21st January 2016 – 300 dead turtles found on a beach in Odisha, India. Link

20th January 2016 – 400,000 birds killed due to outbreak of avian flu in Indiana, America. Link

18th January 2016 – 7 dead whales found along the coast of Baja California Sur, Mexico. Link

18th January 2016 – Mass fish kill in a river in Eloor, India. Link

17th January 2016 – 12 sperm whales wash up dead on islands in Netherlands and Germany. Link

17th January 2016 – Large die off of fish spotted along the Nile in Rosetta, Egypt. Link

16th January 2016 – 8,000+ birds killed due to avian flu in Tripura, India. Link

15th January 2016 – MASSIVE – 10,000+ dead squid wash ashore ‘reason Dead squid in chileunknown’ in Arauco, Chile. Link

15th January 2016 – 10,000 ducks killed due to more outbreaks of avian flu in Taipei, Taiwan. Link

15th January 2016 – Hundreds of dead fish found floating in a river in Kuala Lumpur, Malaysia. Link

14th January 2016 – 5 giant sperm whales wash ashore dead on Texel Island in Netherlands. Link

13th January 2016 – Thousands of dead fish wash up in Guanabara Bay, Brazil. Link

13th January 2016 – 40,000 chickens to be killed due to avian flu in Fife, Scotland. Link

13th January 2016 – Hundreds of thousands of fish dead or dying in Hunter river, NSW, Australia. Link

12th January 2016 – Hundreds of animals killed by hail storm in Canchabamba, Peru. Link

12th January 2016 – 100+ Whales stranded, 45 dead on the coast of Tamil Nadu, India. Link

12th January 2016 – 700,000 birds killed due to another outbreak of avian flu in Kano State,Dead whales in India Nigeria. Link

10th January 2016 – Hundreds of dead fish and eels found in a lake in Hawke’s Bay, New Zealand. Link

9th January 2016 – 4,000+ cattle dead due to drought in Huila, Colombia. Link

8th January 2016 – Thousands of dead fish wash up in Gulfport, Florida, America. Link

8th January 2016 – 330,000+ birds killed due to avian flu in Kano and Delta regions, Nigeria. Link

8th January 2016 – Tens of thousands of dead starfish and jellyfish wash up along Sussex and Hampshire, England. Link

7th January 2016 – Tens of thousands of birds killed due to avian flu in various areas of Taiwan. Link

7th January 2016 – 2,000 dead fish found along the banks of a river in Amalfi, Colombia. Link

6th January 2016 – 100+ TONS of fish die, in a river in Dong Nai Province, Vietnam. Link

6th January 2016 – Hundreds of dead birds found in Cueramaro, Mexico. Link

6th January 2016 – 25,000 birds killed due to avian flu in Accra, Ghana. Link

5th January 2016 – Massive die off of fish in a lake in Marica, Brazil. Link

5th January 2016 – Hundreds of dead fish found along a river in Gebeng, Malaysia. Link

2nd January 2016 – 40,000 cattle killed in storm in Texas and New Mexico, America. Link

2nd January 2016 – Thousands of fish dead in a river due to pollution in Pelalawan Regency, Indonesia. Link

2nd January 2016 – Hundreds of dead starfish wash ashore on a beach in Portsmouth, England. Link

If you are affected by this information, then please see what must I do to be saved?

There is no doubt that these mass animal deaths occuring around the world today is one of the many signs of the times, showing that we are living in the last days. Throughout history we have not seen animals dying in these kinds of numbers all around the world. But the earth and the seas are so polluted now from man made chemicals and oil spills, the animals just don’t stand a chance! But this was to be expected, as God has already warned us through Bible prophecy that this world is heading for complete ruin. Friends, it’s time to turn to Jesus Christ. He is our ONLY hope for the future.

See MASS ANIMAL DEATHS 2015 for the 2015 list.

See MASS ANIMAL DEATHS 2014 for the 2014 list.

See MASS ANIMAL DEATHS 2013 for the 2013 list.

See MASS ANIMAL DEATHS 2012 for the 2012 list.

See MASS ANIMAL DEATHS 2011 for the 2011 list.

Why would a “loving” God allow suffering to continue? SEE THIS PAGE

Friends, the end is near and the time of probation is about to close. Seek and turn to Jesus Christ while you still can!

Conocimiento, Consciencia, Educacion

GCHQ ‘Karma Police’ system to track everyone’s internet browsing revealed

No, it’s not paranoia. GCHQ really is spying on you – and everyone else


“Karma Police”, a GCHQ mass internet surveillance programme, has been logging the browsing habits of internet users worldwide – including visits to all websites, posts on social media and news sites, search engine queries, and posts on chat forums and blogs.

The system has been running for seven years and was implemented without any parliamentary authorisation or other external approval or scrutiny.

The revelation is the latest to be released out of the documents expropriated by US National Security Agency whistleblower Edward Snowden. It follows up news of how the UK intelligence services forced BT and other companies operating internet backbone capacity in the UK to tap fibre-optic cables that traverse the UK.

The documents were released by The Intercept, the investigative web site set up to exploit the trove of millions of documents.

One system builds profiles showing people’s web browsing histories. Another analyses instant messenger communications, emails, Skype calls, text messages, cell phone locations, and social media interactions. Separate programmes were built to keep tabs on ‘suspicious’ Google searches and usage of Google Maps,” reports The Intercept.

It continues: “The surveillance is underpinned by an opaque legal regime that has authorised GCHQ to sift through huge archives of metadata about the private phone calls, emails and internet browsing logs of Brits, Americans, and any other citizens – all without a court order or judicial warrant.”

As of 2012, it claims, GCHQ was storing about 50 billion metadata records about online communications and web browsing activity every day. Today, it ought to be capable of record 100 billion separate records every day, it adds.

“The power of Karma Police was illustrated in 2009, when GCHQ launched a top-secret operation to collect intelligence about people using the internet to listen to radio shows.

“The agency used a sample of nearly seven million metadata records, gathered over a period of three months, to observe the listening habits of more than 200,000 people across 185 countries, including the US, the UK, Ireland, Canada, Mexico, Spain, the Netherlands, France and Germany.”

The aim of the online radio surveillance, according to The Intercept, was to identify listening trends that might indicate Islamist sympathies.

“They zeroed in on any stations found broadcasting recitations from the Quran, such as a popular Iraqi radio station and a station playing sermons from a prominent Egyptian imam named Sheikh Muhammad Jebril. They then used Karma Police to find out more about these stations’ listeners, identifying them as users on Skype, Yahoo, and Facebook.”

It was also able to identify individuals’ other web browsing habits.

The documents indicate that the plans for Karma Police were drawn up between 2007 and 2008, with the aim of providing the agency with “either (a) a web browsing profile for every visible user on the internet, or (b) a user profile for every visible website on the internet”.

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Conocimiento, Consciencia, Educacion



Our reality is carefully constructed by powerful corporate, political and special interest sources in order to covertly sway public opinion. Blatant lies are often televised regarding terrorism, food, war, health, etc. They are fashioned to sway public opinion and condition viewers to accept what have become destructive societal norms.The practice of manipulating and controlling public opinion with distorted media messages has become so common that there is a whole industry formed around this. The entire role of this brainwashing industry is to figure out how to spin information to journalists, similar to the lobbying of government. It is never really clear just how much truth the journalists receive because the news industry has become complacent. The messages that it presents are shaped by corporate powers who often spend millions on advertising.

Six conglomerates, which run this advertising, own 90% of the media: General Electric (GE), News-Corp, Disney, Viacom, Time Warner, and CBS. Yet, these corporations function under many different brands, such as Fox, ABC, CNN, Comcast, Wall Street Journal, etc, giving people the perception of choice.

Mass brainwashing specialist L Wolfe has noted: “As Tavistock’s researchers showed, it was important that the victims of mass brainwashing not be aware that their environment was being controlled; there should thus be a vast number of sources for information, whose messages could be varied slightly, so as to mask the sense of external control.”

New Brainwashing Tactics Called ‘Astroturf’:

With alternative media on the rise, the propaganda machine continues to expand.

Sharyl Attkisson, investigative reporter with CBS, during which she explains how “astroturf,” or fake grassroots movements, are used to spin information not only to influence journalists but to sway public opinion.“Astroturf is a perversion of grassroots,” Sharyl Attkinson explains. “Astroturf is when political, corporate or other special interests disguise themselves and publish blogs, start Facebook and Twitter accounts, publish ads, letters to the editor, or simply post comments online, to try to fool you into thinking an independent or grassroots movement is speaking.”

How do you separate fact from fiction? Sharyl Attkisson finishes her talk with some insights on how to identify signs of propaganda and astroturf.

Here is a summary of astroturf tactics. Once you’re aware of them, you will notice just how popular they have become:
— Creating of Wikipedia pages, monitored by corporations.
— Creating a social media presence, including Facebook and Twitter accounts, run by paid professionals.
— Secretly funding non-profit organizations to create third-party support and web presence.
— Search engine optimizing web pages such as blogs and third-party sites that support a specific agenda.
— Financing industry research that is deceitfully presented as independent opinion.
— Funding experts working on unrelated projects, while in reality creating paid consultants.

These methods are used to give people the impression that there is widespread support for an agenda, when, in reality, no such agenda exists. Astroturf tactics are also used to discredit or criticize those who disagree with certain agendas, using stereotypical names such as “conspiracy theorist” or “quack” to make people turn away from the truth and accept lies instead.

Conocimiento, Consciencia, Educacion

Top 10 Worst GMO Foods for Your GMO Foods List


Genetically modified foods (GMO foods) have been shown to cause harm to humans, animals, and the environment, and despite growing opposition, more and more foods continue to be genetically altered. It’s important to note that steering clear of these foods completely may be difficult, and you should merely try to find other sources than your big chain grocer. If produce is certified USDA-organic, it’s non-GMO (or supposed to be!) Also, seek out local farmers and booths at farmer’s markets where you can be ensured that the crops aren’t GMO. Even better, if you are so inclined: Start organic gardening and grow them yourself. Until then, here are the top 10 worst GMO foods for your “do not eat” GMO foods list.

1. Corn

One of the most prominent GMO foods, avoiding corn is a no-brainer. If you’ve watched any food documentary, you know corn is highly modified. “As many as half of all U.S. farms growing corn for Monsanto are using genetically modified corn,” and much of it is intended for human consumption. Monsanto’s GMO corn has been tied to numerous health issues, including weight gain and organ disruption.

2. Soy

Found in tofu, vegetarian products, soybean oil, soy flour, and numerous other products, soy is also modified to resist herbicides. As of now, biotech giant Monsanto still has a tight grasp on the soybean market, with approximately 90 percent of soy being genetically engineered to resist Monsanto’s herbicide Roundup. In one single year, 2006, there was 96.7 million pounds of glyphosate sprayed on soybeans alone.

3. Sugar

According to NaturalNews, genetically-modified sugar beets were introduced to the U.S. market in 2009. Like others, they’ve been modified by Monsanto to resist herbicides. Monsanto has even had USDA and court-related issues with the planting of it’s sugarbeets, being ordered to remove seeds from the soil due to illegal approval.

4. Aspartame

Aspartame is a toxic additive used in numerous food products, and should be avoided for numerous reasons, including the fact that it is created with genetically modified bacteria.

5. Papayas

This one may come as a surprise to all of you tropical-fruit lovers. GMO papayas have been grown in Hawaii for consumption since 1999. Though they can’t be sold to countries in the European Union, they are welcome with open arms in the U.S. and Canada.

6. Canola

One of the most chemically altered foods in the U.S. diet, canola oil is obtained from rapeseed through a series of chemical actions.

7. Cotton

Found in cotton oil, cotton originating in India and China in particular has serious risks.

8. Dairy

Your dairy products may contain growth hormones, since as many as one-fifth of all dairy cows in America are pumped with these hormones. In fact, Monasnto’s health-hazardous rBGH has been banned in 27 countries, but is still in most US cows. If you must drink milk, buy organic.

9. and 10. Zucchini and Yellow Squash

Closely related, these two squash varieties are modified to resist viruses.

The dangers of some of these foods are well-known. The Bt toxin being used in GMO corn, for example, was recently detected in the blood of pregnant women and their babies. But perhaps more frightening are the risks that are still unknown. Even while these foods should be on your GMO foods list so that they are avoided, you can buy 100% organic to be safest.

With little regulation and safety tests performed by the companies doing the genetic modifications themselves, we have no way of knowing for certain what risks these lab-created foods pose to us outside of what we already know.

The best advice: steer clear of them altogether.

Additional Sources:





by Elizabeth Renter
Posted on July 28, 2012

Conocimiento, Consciencia, Educacion

Monsanto Losing Its Grip?


The earnings warning was just a precursor.

By Don Quijones, Spain & Mexico, editor at WOLF STREET.

Monsanto, the world’s largest seed manufacturer, is not having a good year. The company recently slashed its 2016 earnings forecast from the $5.10-$5.60 per share it had forecast in December to $4.40-$5.10, claiming that about 25-30 cents of the reduction was due to the stronger dollar. But judging by recent trends, a strong dollar could soon be the least of its concerns.

Across a number of key markets, the company is facing growing resistance, not only from farmers and consumers but also, amazingly, governments.

In India, the world’s biggest cotton producer, the Ministry of Agriculture accuses Monsanto of price gouging. It even imposed a 70% cut in the royalties that the firm’s Indian subsidiary could charge farmers for their crop genes, prompting Monsanto to threaten that it would withdraw its biotech crop genes from the country.

If Monsanto’s threat was a bluff, it’s just been called. According to Mandava Prabhakara Rao, the president of the National Seed Association of India (NSAI), Monsanto’s threat came as a big relief:

All these years, the company has restrained us from using technologies other than the one developed by it. It forced the seed firms to sign the licence agreements that barred them from using other technologies.

India’s government also seems unconcerned by the prospect of Monsanto’s withdrawal.“It’s now up to Monsanto to decide whether they want to accept this rate or not,” said Minister of state for agriculture and food processing, Sanjeev Balyan. “We’re not scared if Monsanto leaves the country, because our team of scientists are working to develop (an) indigenous variety of (GM) seeds.”

India’s pushback against Monsanto is part of a gathering global backlash against Monsanto and the GMO industry as a whole. Even in the U.S., where GMOs are estimated to represent more than 90% of corn, soybean, and cotton acres, the trend is no longer Monsanto’s friend. Earlier this year the company filed a lawsuit against the state of California for its intent to label glyphosate, the main chemical used in Monsanto’s flagship Roundup herbicide, as a probable carcinogen, in accordance with the World Health Organization’s recent findings.

There’s also growing pressure on major food outlets to stop using GMO ingredients. After the USDA’s 2015 approval of genetically modified apples and potatoes, companies including McDonald’s Corp. and Wendy’s Co. claimed they didn’t plan to use them, saying they were happy with non-GMO suppliers. Even more importantly, the Orwellian-titled Deny Americans the Right to Know (DARK) act, aimed at prohibiting mandatory GMO labelling, was defeated in the Senate last week.

Meanwhile, in Mexico, Monsanto’s fourth biggest market after the U.S., Brazil, and Argentina, a moratorium remains in place on the granting of licenses for GMO seed manufacturers like Monsanto, Dow, and Du Pont. In the face of growing public and judicial opposition, Monsanto & Friends have pinned their hopes on the Peña Nieto government’s upcoming agrarian reform act.

Manuel Bravo, Monsanto’s director for Latin America, recently told El País that he is confident that once the legal problems in the courts are “resolved,” the issue will become a central plank in the current administration’s agenda. “The Government has been very clear about the importance of these technologies,” he said.

Across the Atlantic, Monsanto’s problems are somewhat more intractable. Already more than half of EU countries have moved to bar GMO cultivation, while a last-minute mutiny by four EU states (France, Sweden, Italy, and the Netherlands) recently forced the postponement of a vote in Brussels on re-licensing glyphosate.

The reason for the postponement is simple: If the vote had gone ahead, there would have been no way of securing the 100% approval needed to renew the license for another 15 years. As a result, a herbicide that dominates crop cultivation in many European markets and which provided €4 billion of earnings and over €1 billion of profit for Monsanto alone last year, would have lost its license. And that is the last thing the European Commission and the massive agribusiness lobbies that generously line its pockets want.

In time-honored fashion, the Commission has promised to “renegotiate” the matter, while Jean-Charles Bocquet, the director of the European Crop Protection Agency, a front lobby organization for Monsanto & Friends, let his rage rip in a disarming display of frankness: “We are very upset that countries were influenced by significant political pressure from the environment committee of the European parliament, NGOs, and the precautionary principle.”

The precautionary principle states that if there is even a suspected risk of causing harm to the public or to the environment, then, in the absence of scientific consensus that the action or policy is not harmful, the burden of proof that it is not harmful falls on those taking an action, in this case, Monsanto and the agrochemical lobby. It’s even law in the EU.

Proving the unprovable could be a very difficult task, even for Monsanto & Friends — hence Bocquet’s public admission of the ECPA’s withering disdain for precaution regarding human health or safety. It’s also no coincidence that the agrichemical business lobby is the biggest lobbyist on the EU-US trade deal (TTIP), which is feared would significantly water down EU chemical safety standards, including the precautionary principle.

While Monsanto and friends struggle to preserve their markets in Europe, Russia, one of the world’s largest agricultural markets, has ruled out approving the use of any biotech crops in the cultivation or production of food, largely in retaliation to sanctions imposed by the U.S. and Europe in 2014. As for China, it allows cultivation of some GMOs but isn’t expected to approve new ones any time soon, at least until its own agrichemical businesses are on a more equal footing with their U.S. rivals.

As the global backlash against GMOs grows, the market’s once-spectacular growth is grinding to a halt. In 2014 sales grew 4.7% to $21 billion, compared with 8.7% growth in 2013 and average annual growth of 21% from 2007 through 2012. According to Mike Mack, the former CEO of Swiss-based (and now Chinese-owned) Syngenta, biotech seeds have nearly saturated major markets where approved:

Show me the new markets or the new crops that are going to bring the sort of wave that we saw in the last decade. I don’t see how it’s going to pick up in a material way anytime soon.

And that is very bad news for a company that is already on the back foot in many of its key markets and which is waging what appears to be a losing battle for the hearts and minds not only of global consumers but also national governments. By Don Quijones, Raging Bull-Shit

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