This article is related to the experimental data revealing the ability of Wave Rider (WR) device (MRET noise field generator)
to mitigate unwanted biological effects of technologically originated electromagnetic radiation (EMR). A number
of publications in the scientific literature have raised concern about the individual and public health impact of adverse
non-ionizing radiation from EMR exposure emanating from certain electrical and wireless devices commonly found
in the home, workplace, school and community. Despite the many challenges in establishing irrefutable scientific proof
of harm and the various gaps in elucidating the precise mechanisms of harm, epidemiological analyses continue to suggest
considerable potential for injury and affliction as a result of non-ionizing radiation exposure. It would be a desirable
to develop a technology that can mitigate such health risks. Wave Rider technology was recently developed to prevent
health risks associated with the exposure to EMR. The core part of Wave Rider is MRET polymer compound. Due
to the fractal geometry structure of MRET polymer compound and the phenomenon of piezoelectricity, this polymer
generates subtle, low frequency, non-coherent electromagnetic oscillations (composite noise field) when exposed to
electromagnetic field of 7.8 Hz and 14.5 Hz frequency oscillating in a repeating sequence for 5 seconds each time. MRET
(Molecular Resonance Effect Technology) polymer compound is driven by the solenoid that encapsulates this polymer
material. The composite noise field can modify RF signals as a result of superposition phenomenon. The superposition
of composite noise field generated by WR on RF microwave signals leads to amplitude modulation of RF signals where
random low frequency signal generated by WR is a modulating signal and original microwave signal is a modulated one.
The experiment conducted at MET Laboratory (A leading independent electrical testing & certification lab  (USA) shows
that at the close proximity to Wave Rider there was found significant increase of the noise field spectrum content level in
the range of 4 Hz to 50 kHz. Test conducted at NEMKO laboratory (Electromagnetic Compatibility & Telecommunications
lab (USA)  confirmed that measured at the distance of 30 feet (9 meters) intensity of noise field spectrum generated by
WR is several orders higher compared to the magnetic field intensity of human brain electroencephalographic activity in
the range of Delta (1 Hz ) and Alfa (10 Hz) frequencies. It allows concluding that WR noise field signals may affect/resonate
with brain wave signals and as a result normalize brain activity when human subject is exposed to man-made EMR.
To realize such assumption there was arrange a study at RF Exposure Laboratory. The protocol was designed to find out
the effect of WR noise field spectrum on SAR (specific absorption rate) values of mobile phones. Another in vitro study was
conducted at Molecular Diagnostic Services Inc. (USA) to verify the effect of WR noise field on metabolic activity of human
Astrocytes exposed to microwave radiation of mobile phone. The results of both experiments clearly confirm WR preventive
effect against unwanted biological effects of EMR.
Keywords: Astrocytes; MRET Noise Field Generator; Piezoelectric Effect; Fractal Geometry; Noise Field; Amplitude Modulation; Metabolic Activity.
AElectric devices and infrastructure and wireless communication
are hallmarks of modern life. The proliferation of these
technologies in recent years has dramatically increased our exposure
to electromagnetic radiation. While the science on the
health impacts of this form of radiation is inconclusive, many
people are concerned about how long-term exposure to excessive
EMR may impact human health and nature. In 2007, an
independent, international collaborative of 14 scientists and
public health and policy experts reviewed more than 2000
studies of health effects from EMR (the BioInitiative project).
They concluded, “Chronic exposure to EMF is associated in
some scientific studies with increased health risks that vary
from impaired learning, headaches, mental confusion, skin
rashes, tinnitus and disorientation to a variety of cancers, and
neurological diseases like ALS and Alzheimer’s”. For this
reason it would be desirable to develop a technology that can
protect humans against possible health risks associated with
exposure to man-made EMR. The objective of presented in this
paper studies was to verify that Wave Rider technology can
potentially mitigate unwanted biological effects of electromagnetic
Wave Rider technology is covered by US Patent. The core part
of WR is a composite material – polymer of fractal structure.
Due to the fractal structure of MRET polymer compound and
the phenomenon of piezoelectricity this polymer generates
subtle, low frequency, non-coherent electromagnetic field
(composite noise field) when exposed to electromagnetic field
of 7.8 Hz and 14.5 Hz frequency oscillating in a repeating sequence
for 5 seconds each time. MRET polymer compound is
driven by the solenoid that encapsulates the polymer material.
The composite noise field can modify RF signals as a result of
superposition phenomenon. The superposition of composite
noise field generated by Wave Rider and RF microwave signals
leads to amplitude modulation of RF signals where random
low frequency signal generated by WR is a modulating signal
and original microwave signal is a modulated one. Amplitude
modulation consists of encoding information onto a carrier signal
by varying the amplitude of the carrier. Amplitude modulation
produces a signal with power concentrated at the carrier
frequency and in two adjacent sidebands. When multiplying
one signal by another the upper sideband represents the carrier
plus the modulator and the lower sideband represents the
carrier minus the modulator. The sideband power accounts
for the variations in the overall amplitude of the signal. Realizing
mentioned above it is possible to conclude that Wave Rider
low frequency signal superimposed on RF carrier microwave
field makes the resulting modulated spectral components of
microwave field to resemble the characteristics of spatial incoherent
field or noise field.
Litovitz et al.  proposed that living cells exist in an electrically
noisy environment and these endogenous thermal noise
fields are larger than those exogenous EMFs reported to cause
effects. They suggested that only the EMFs that are temporally
and spatially coherent such as radiofrequency fields could affect
living cells while endogenous thermal noise fields, which
cells do not respond to, were temporally and spatially incoherent.
A number of observations have supported this theory.
In one experiment, the cellular effects induced by acute microwave
radiation were mitigated by superposing with electromagnetic
noise in vitro. DNA damage induced by 1.8 GHz
microwave radiation at the SAR of 3 W/kg and 4 W/kg was
significantly higher than sham exposure (p<0.001) whereas
no significant differences could be observed in other exposure
groups compared with the sham exposure group (p>0.05).
Electromagnetic noise alone did not increase DNA damage
of HLEC, and when it was superposed on the radiofrequency
field; the electromagnetic noise could block RF-induced DNA
damage . Another experiment demonstrated that microwave
fields, amplitude modulated by an extremely low-frequency
(ELF) sine wave, can induce a nearly twofold enhancement
in the activity of ornithine decarboxylase (ODC) in L929
cells at SAR levels of the order of 2.5 W/kg. Similar, although
less pronounced, effects were also observed from exposure to
a typical digital mobile phone test signal of the same power
level, burst modulated at 50 Hz. It has also shown that ODC
enhancement in L929 cells produced by exposure to ELF fields
can be inhibited by superposition of ELF noise .
Method and Materials
1. The first experiment was conducted at FCC (Federal Communications
Commission) certified NEMKO laboratory (USA)
in order to evaluate emission data of Wave Rider device. The
purpose of this study was to find out the intensity of noise field
generated by WR. It was necessary to understand if WR signals
can affect/resonate with human brain waves in order to normalize
brain waves activity when human subject is exposed to
harmful effects of EMR. The brain wave activity directly related
to the function of the central nerves system, as a result it
controls function of all organs in the human body. A new study
from Sweden has been published by Eberhardt et al,  and is
co-authored by veteran EMF researchers Leif Salford and Bertil
RR Persson of Lund University. The study reports that cell
phone GSM frequency exposure induces pathological leakage
of albumin across the blood-brain barrier. Such effects have
been reported in prior studies (for example, Salford 2003 ).
The blood-brain barrier is a critical structure in the brain that
separates the flow of blood through the brain from the brain
matter itself. Blood contains toxins being carried to excretory
organs and also certain molecules like albumin that can be lethal
to brain tissue .
For this reason, three probe testing was conducted for Delta
range (1 Hz cutoff frequency), Alfa range (10 Hz cutoff frequency)
and Beta range (30 Hz cut off frequency) (Figure1).
Figure 1. Brain wave frequency .
The results of the first experiment study show that the intensity
of WR noise field in the range of Delta (1 Hz cutoff frequency)
and Alfa (10 Hz cutoff frequency) activity at the distance
of 30 feet (9 meters) is several orders higher compared to the
magnetic field intensity of human brain activity.
* Conversion formula used: A/m = 4π x 10-3 Oersted
For most purposes, gauss and oersted are essentially equivalent.
For example, a 1 oersted magnetic field strength in air is
about equal to a 1 gauss magnetic flux density in air. It is well
known that magnetic field intensity of human brain activity is
in the range of 10-9 – 10-8 gauss .
It allows concluding that WR noise field signals can affect/resonate
with brain wave signals and support normal brain activity
when human subject is exposed to EMR.
The normalization of brain activity leads to the restoration of
the blood - brain barrier (BBB) when human subject is exposed
to EMR. Later on this effect of WR was found by Dr. Muriyama
in Japan. He found when human subject is exposed to radiation
WR noise field enhances blood supply to the frontal lobes of
the subject’s brain.
2. Another study-second experiment was conducted at FCC
certified MET Laboratory (USA), report EMCS35370-GEN. Test
was designed to find out characteristics and limits of electromagnetic
signals generated by Wave Rider (WR). It was detected
with the help of a Real Time Spectrum Analyzer (Agilent
E4447A) the increase of the noise field spectrum content level
in the range of 4 Hz to 50 kHz at close proximity to WR (Figure
2 and Figure 3). WR noise signals are more intensive in
the range of low frequency (4 Hz) which means that WR effect
matches the range of human brain waves. Test shows that WR
generates noise field signals in low frequency range.
For many years, the US Army was concerned that many of
their personnel operating radio, communications and other
equipment showed symptoms of radiation poisoning, and realized
they needed to protect themselves from harmful electromagnetic
radiation. The research project was initiated in
1986 and funded in its first five years by the U.S. Army Walter
Reed Army Institute Department of Microwave Engineering.
The project was a large scale effort at the Catholic University
of America’s (CUA) Department of Physics . Their researchers
were the first to come up with the idea that there
was some structural difference between electromagnetic fields
that were natural and those that were man-made. Man-made
electromagnetic fields radiate with steady, regular oscillations
or pulses with constant frequencies. However, natural
electromagnetic fields are highly irregular, with random and
mixed frequencies and waveform. The researchers discovered
that man-made frequencies had a detrimental, negative effect
on biological cells, whereas the natural frequencies did not.
Figure 2. Antenna @ 0ft (4 Hz- 1 kHz). The plot was taken with the
WR OFF (Yellow Trace) and ON (Blue Trace).
The researchers called this natural electromagnetic field with
random and mixed frequencies and waveform, “Noise Field”.
A number of Universities all over the globe conducted studies regarding the effect of noise field. They came to conclusion
that noise field signals superimposed on microwave signals
mitigate/reduced negative effects of EMR on living cells in
human subjects. Eventually, they succeeded in creating a solution.
They called it the Noise field technology. Over the years,
researches in various Universities have found it to be effective
against an entire range of EMR-related symptoms at both
the cellular and genetic level.
Figure 3. Antenna @ 0ft (1 kHz-50 kHz). The plot was taken with the
WR OFF (Yellow Trace) and ON (Blue Trace).
3. The third experiment
This study was conducted at the laboratory of Dr. Masaru Emoto
(Tokyo, Japan). The sample of distill water was placed in
close proximity to the operating mobile phone for 2 hours period
of time. Then 0.5 mL samples of liquid water from a specific
sample have been placed on 100 Petri dishes that were
then frozen and stored at a temperature of - 25°C for three
hours in a freezer. A sample was removed from the freezer for
observation under a microscope with a camera in a room with
a constant temperature of -5°C. The sample of crystals was observed
and photos were taken (Figure 4 ).
Then experiment was duplicated for another distill water sample,
when sample was placed in close proximity to the operating
mobile phone (same model) for 2 hours period of time, but
at the same time the operating Wave Rider device was placed
at the distance of 5 meters from the tested water sample. A
sample of frozen water was observed under a microscope and
photos were taken (Figure 5).
Figure 4. Image of froze water sample after exposure to mobile
phone radiation without WR.
Figure 5. Image of frozen water sample after exposure to mobile
phone radiation with WR.
Figure 6. Dr. Masaru Emoto presenting image of frozen water sample
after exposure to mobile phone radiation with WR (images courtesy
of Dr. Emoto).
What is the nature of process in which the snowflake was created?
At the beginning, it is a small formation. A few atoms
formed a small piece of crystal. Such a small piece of crystal almost
always has usually some hexagonal symmetry. Then, the
water molecules are added to the crystal because it’s energetically
favored. Nature adds one water molecule at a time. The
molecules always try to choose the most energetically favored
position on the frozen body. Because these laws of creation of
a snowflake are symmetric with respect to the rotational symmetries,
it follows that any symmetry that exists at the beginning
- a hexagonal symmetry of a small number of molecules
in the initial crystal - will be preserved. It’s pretty much inevitable
that all the arms are growing approximately equally, so
the initial symmetry group is preserved and becomes symmetry
of a macroscopic object. The whole process of ice crystal
formation is governed by the natural stability of water molecular
hydrogen bonding . The stable arrangement of hydrogen-
bonded water molecules in ice gives rise to the beautiful
hexagonal symmetry that reveals itself in every snowflake.
There is a significant deformation of hexagonal symmetry for
the frozen water sample pre-exposed to mobile phone radiation
(Figure 4). Very likely it is a result of natural hydrogen
bonding distortion of water samples exposed to the radiation
of mobile phone. On the other hand, we observe restoration of
hexagonal symmetry of frozen water samples exposed to mobile
phone radiation, when samples were treated with Wave
Rider signals (Figure 5) and (Figure 6). It allows concluding
that Wave Rider noise field can compensate for the distortion
effect of hydrogen bonding of water molecules exposed to microwave
radiation. This is an important finding considering
that human body on the average basis consists up to 70% of
water. It has long been known that the intracellular water very
close to any membrane or organelle (sometimes called vicinal
water) is organized very differently from bulk water, and that
this structured water plays a significant role in governing the
shape (and thus biological activity) of large folded biopolymers.
The biological activity of proteins (of which enzymes
are an important subset) is critically dependent not only on
their composition but also on the way these huge molecules
are folded; this folding involves hydrogen-bonded interactions
with water, and also between different parts of the molecule
itself. Anything that disrupts these water molecular hydrogen
bonds will denature the protein and destroy its biological activity.
4. Another experiment was conducted at Molecular Diagnostic
Services Inc., San Diego. Mobile phones model Samsung GustoTM2
was used to administer the irradiation of Astrocyte cells.
Wave Rider device was used to test the compensatory effect
of amplitude modulated (noise field) signals on Astrocytes exposed
to mobile phone irradiation.
• Astrocytes were thawed, plated into poly-lysine coated
flasks and cultured for several days prior to seeding into 96 well plates. Cells were seeded in two poly-lysine 96
well plates (25,000 cells/well).
• Plates of astrocytes were treated with or without cell
phone radiation daily for 6 hours/day (for a total of 5 days.
• Cell phone radiation was administered by placing the plate
directly 1 inch above a Samsung GustoTM2 cell phone at
room temperature during which an active call was continuously
ongoing for 6 hours. Phones were monitored every
10 minutes to ensure no interruption in the call occurred.
The untreated plate was incubated at room temperature
in a separate room. Room temperature was monitored
throughout the experiment at each plate. Fluctuations in
room temperature were minimal and deemed equivalent
at each station.
• Three plates were included in the study. Plate one received
no cell phone treatment, plate 2 received cell phone treatment
alone, plate 3 received cell phone treatment and was
placed at 30 feet distance from Wave Rider. A plate 3 was
treated in one room while plates 1 and 2 were kept in two
separate rooms. Temperature in the rooms were monitored
and controlled within 1 degree Celsius. On day 3,
random temperature samples were taken on well in each
plate and confirmed average temperature variations were
a single degree Celsius or less from plate to plate.
• Following treatment, all plates were placed back into the
• At days 2, 3, 4 and 5, an MTT-like assay was performed
using the Cell Titer 96 Aqueous reagent (Promega) according
to the manufacturer’s recommendation. MTT
was added to wells and the plates were read on a 96 well
plate reader (490 nm) (Molecular Devices Vmax kinetic
microplate reader, Molecular Devices LLC) at various
time-points after addition of the test reagent. Incubation
time varied, as the number of cells increased over time.
The same plate was used for all assay measurements and
only a subset of wells treated with MTT on each assay date.
To normalize data to account for the varying cell number
and MTT incubation times, background (determined
from average optical density value from wells containing
media alone) was subtracted from individual data points
and an average and standard deviation was calculated
for the cell phone or no cell phone treated wells. The
percentage of MTT signal in the cell phone treated wells
relative to the no cell phone treated wells was calculated
using the average and standard deviations from the two
sample sets on each day of measurement. This percentage
was then plotted as a function of days of treatment.
The results of the MTT-like assay are presented in the section
Figure 7 contains a dose response graph of the MTT assay data for Astrocytes with and without mobile phone irradiation
treatment and in the presence of WR. The “no mobile phone” treatment signal on each day of measurement is set at 100%
and the percentage of this signal obtained from the mobile
phone treated or mobile phone plus WR wells is graphed.
Figure. 7 Effect of mobile phone radiation on human Astrocyte cells. Cells were treated with mobile phone irradiation plus or
minus WR (at the distance of 30 ft away) for 5 consecutive days. On days 2, 3, 4, and 5, an MTT Assay was performed. Data was
normalized as indicated in the Work accomplished section above, and the percent signal relative to the “no mobile phone” treated
wells was plotted as a function of study day. Data points represent the average values for replicate wells. Error bars represent
standard deviations. Standard deviations were calculated using standard methods for the propagation of errors.
Table 2. Effect of mobile phone radiation +/- WR on human Astrocyte cells: Day 2 Data. Raw Data and Analyzed Data are presented for the MTT
reading on cells treated with mobile phone radiation for 2 days. Results are from an overnight read of the MTT data. After subtracting the average
media alone signal, an average (μ) and standard deviation(ϭ) were calculated. The percentage of the Non-Cell Phone signal then calculated.
Table 3. Effect of cell phone radiation +/- WR on human astrocyte cells: Day 3 Data. Raw Data and Analyzed Data are
presented for the MTT reading on cells treated with mobile phone radiation for 3 days. Results are from an overnight read of
the MTT data. After subtracting the average media alone signal, an average(μ) and standard deviation(ϭ) were calculated. The
percentage of the Non-Cell Phone signal then calculated.
Table 4. Effect of cell phone radiation +/- WR on human astrocyte cells: Day 4 Data. Raw Data and Analyzed Data are presented
for the MTT reading on cells treated with mobile phone radiation for 4 days. Results are from an overnight read of the MTT data.
After subtracting the average media alone signal, an average(μ) and standard deviation(ϭ) were calculated. The percentage of
the Non-Cell Phone signal then calculated.
Table 5. Effect of cell phone radiation +/- WR on human astrocyte cells: Day 5 Data. Raw Data and Analyzed Data are presented
for the MTT reading on cells treated with cell phone radiation for 5 days. Results are from an overnight read of the MTT
data. After subtracting the average media alone signal, an average(μ) and standard deviation(ϭ) were calculated. The percentage
of the Non-Cell Phone signal then calculated.
For the Astrocytes treated with mobile phone irradiation, a reduction
in the MTT signal was observed compared to the untreated
cells between days 2 and 4. However, when Astrocytes
samples were placed at the distance of 30 feet away from Wave
Rider a difference in MTT signal of WR plus mobile phone
treated cells was observed. This difference was most dramatic
at day 4. By day 5, all treatments resulted in similar MTT
signals likely due the fact that cells were beginning to reach
confluence in the wells.
Thus, it appears that mobile phone treatment had a negative
effect on the Astrocytes growth up until the 5th day of culture.
The results for the experiment reveals the following: when normal
human brain Astrocyte cells are exposed to mobile phone
irradiation cells growth is significantly inhibited within the
first 3-4 days. Then Astrocytes metabolic activity begins to increase
most likely due to the adaptation effect (cells structure
and function are constantly modified in response to changing
environmental influences). The negative effect of mobile
phone irradiation on Astrocytes growth was partially relieved
when Wave Rider was placed at the distance of 30 feet from the
treated plates. There was average 7.2% increase of Astrocytes
metabolic activity due to WR compensatory effect compared
to the treated cell samples without WR influence (see Figure
7). This experiment confirms that Wave Rider device placed at
the distance of 30 feet from the treated plates has measurable
compensatory effect on the inhibition of normal human brain Astrocyte cells growth when cells are exposed to mobile phone irradiation. It is a significant finding considering that Astrocyte cell projections called trocyticfeet(also known as "glialimitans") surround the endothelical cells of the blood-brain barrier (BBB), providing biochemical support to those cells.
Figure 8. “Hot Spots” diagram without Wave Rider effect.
1 gram SAR value: 0.858 W/kg
10 gram SAR value: 0.621 W/kg Area
Scan Peak SAR: 0.928 W/kg Zoom Scan
Peak SAR: 1.061 W/kg
5. The research “R&D Testing SAR Evaluation R&D.20071102”
was conducted at FCC certified RF Exposure Laboratory, Escondido,
California by the analyst Jay Moulton. Cell phones use
for test: Qualcomm Model QCP-2035a S/N B3266834, Kyocera
Wireless Model 2325 S/N 457E8CE6 and Samsung Model
SCH-A670 S/N298F6709. Frequency range: 824.7 – 848.31
MHz, 1851.25 – 1908.75 MHz. Maximum RF Output: 23 dBm.
Conducted signal modulation: CDMA.
Wave Rider device was placed at the distance of 7 feet from the
tested “phantom head”.
Figure 9. “Hot Spots” diagram with Wave Rider effect.
1 gram SAR value: 0.771 W/kg
10 gram SAR value: 0.573 W/kg Area
Scan Peak SAR: 0.811 W/kg Zoom Scan
Peak SAR: 0.980 W/kg
The installation and function of Wave Rider device at the distance
of 7 feet from the “phantom head” does not significantly
affect the air measurements of the RF phone signals and subsequently
does not lead to any significant distortion of transmitted
RF signals. In each experiment, SAR values were measured
in 242 points around the phone within the “phantom head.”
The effect of WR on the “phantom head” showed that the “Hot
Spots” remained in the same location as without WR and the
amplitudes decreased in 80% of the data points. In 65% of the
data points there was observed a significant decrease of SAR
values in the range of 10% to 40%.
The accepted physical model explains the relationship between
the elevation of the body temperature with increased
specific absorption rate of electromagnetic radiation (SAR)
and increased blood perfusion rate (Green’s function) usually
following the human body exposure to EMR. The steady-state
temperature elevation of the body can be described by the following
δT(r) = Σi ρ (ri) SAR (ri) G(r;ri) (1)
where G is Green’s function, the dominant parameter influencing
this function is related to the blood perfusion rate;
SAR is specific absorption rate of tissue; and ρ is the density of
Considering that the density of tissue (p) is a constant it is
possible to conclude that the elevation of the body temperature
is directly correlated with increase of specific absorption
rate (SAR) and the blood perfusion rate (G) in the body.
The alternating electric field drives the electrons in the molecules
to oscillate and the kinetic energy of the oscillation dissipates
into heat and then increases the temperature of the
tissue. If that temperature is too high, it would damage the
tissue itself. The threshold ΔT of damaging brain/eye tissue is
about 4°C (continue for 30 minutes).
Bernadi et al. found there is a significant increase of body
temperature around a cell phone with 600 mW peak TRP.
They detected that the temperature of the ear increases 0.22∼
0.43°C after a 20-minute continuous using of cell phone, with
a 2 W/kg SAR (averaged over 1 g of the tissue); and the temperature
of the brain increases 0.09∼0.19°C, with a 1 W/kg
SAR (averaged over 1 g of the tissue) . On the other hand,
V. Anderson et al.  found the eye temperature increases
0.022°C with an SAR of 0.21 W/kg, also using a 600 mW cell
phone . Assuming the temperature increase is proportional
to the peak TRP, the temperature increase of human brain
would be about 0.5°C if GSM 900 Hz channel is used. In the
analysis of heat effects a temperature increase by 0.5°C or
more is considered significant. However, an even lower temperature
increase by 0.2°C – 0.3°C in the hypothalamus leads
to some changes in the thermoregulatory behavior .
The observed range of 10% to 40% decrease of SAR values
of tested mobile phones when WR device was placed at the
distance of 7 feet from “phantom head” allows concluding that
WR noise field can mitigate the elevation of human body temperature
usually following the subject exposure to EMR.
The variability of study results presented in this paper allows
concluding that Wave Rider device generates low frequency oscillations that have noise field characteristics. These frequencies
have tendency to mitigate and eliminate distortion
effect of RF field on hydrogen bonding of water molecular
structure and to reduce SAR – absorption rate of RF field by
the simulated brain tissue of “phantom head”. It is generally
known that all metabolic reactions in living organisms take
place within colloidal solutions. Disturbances of these colloidal
systems, or even worse, their total disruption, are synonymous
with degenerative conditions of diseases. There is a
relationship between the health of living organisms and the
colloidal state of living tissues. The stability of colloidal solutions
stands in a direct physical relationship to the stability of
hydrogen bonding of water molecules. It is important for the
stability of colloidal systems that the structure of water exerts
a great degree of organization upon the colloidal particles. Another
word the more stable is hydrogen bonding of water molecules
the more organized is colloidal system, and as a result
the more sustaining is homeostasis of living organisms.
The absorption rate of EMR has a direct correlation with thermal
effect of EMR. The bio-heat equation (1) clearly indicates
that decrease of SAR value leads to the reduction of temperature
elevation of the body tissues when subject is exposed to
EMR. Thus, Wave Rider technology has clear tendency to prevent unwanted biological
effects of EMR. It was confirmed by the study in vitro
on human Astrocytes when brain cells samples were exposed
to mobile phone radiation without and with introduction of
Wave Rider device. This experiment shows that Wave Rider
device placed at the distance of 30 feet from the treated
plates has measurable compensatory effect on the inhibition
of normal human brain Astrocyte cells growth when cells are
exposed to mobile phone irradiation.