Rybina 2020: EEG Study — Mobile Phone EMF Effects and Aires Resonator Correction (15 Subjects)

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Rybina 2020: EEG Study — Mobile Phone EMF Effects and Aires Resonator Correction (15 Subjects)

By Dr. L.A. Rybina

Rybina 2020: EEG Study of Mobile Phone EMF Effects and Aires Resonator Correction

3-scenario blinded study measuring brain bioelectric activity under GSM mobile phone exposure — and how an Aires resonator transforms EMF from a disorganizing factor into a harmonizing influence on the central nervous system.

EEG15 subjectsGSM mobile phone3-scenario blindedDr. L.A. RybinaPavlov Institute RAS, 2020
15
Volunteers
3
Exposure Scenarios
8.5–9.2 Hz
Alpha Freq. Shift (EMF)
2020
Study Year

Study Overview

This study evaluated how a modern GSM mobile phone’s electromagnetic radiation affects the brain’s bioelectric activity (BEA) across three exposure conditions, and whether an Aires resonator can correct the detected changes. Conducted March–April 2020 during geomagnetically calm conditions. 15 volunteers participated under informed consent per the Declaration of Helsinki (2000): 13 men and 3 women, predominantly age 21. Researcher: Dr. L.A. Rybina, Candidate of Biological Sciences, Pavlov Institute of Physiology, Russian Academy of Sciences.

EEG recorded using Encephalan 131-03 software package, 16 monopolar leads (10-20 international system), 0–70 Hz bandwidth, 250 Hz discretization. The GSM standard was chosen because TDMA modulation generates frequencies overlapping with brain bioelectric ranges — gamma (317 Hz), alpha (8.35 Hz), delta (2.00 Hz) — making it the most physiologically relevant exposure for EEG research. Subjects were blinded to which scenario (II or III) was applied.

Three Exposure Scenarios

Scenario I — Waiting Mode

Baseline EEG (60s) + eyes open/closed test, then phone in waiting mode (300s). Maximum radiation power occurs when the phone searches for a base station.

Scenario II — Talk Mode (EMF only)

Baseline EEG, then phone in talk mode without sound. Peak handset transmission power.

Scenario III — Talk Mode + Aires Resonator (blinded)

Identical to Scenario II but with an Aires resonator on the phone. Subjects did not know this condition was active.

Results

Waiting Mode: After 3–4 minutes, the phone’s search for a base station was detectable in EEG — increased slow-wave (2–6 Hz) power and alpha frequency shift to lower values. EEG recovered after exposure ended.
Talk Mode (no resonator): Significant drop in alpha range power, plus dominant alpha frequency shift to 8.5–9.2 Hz (lower frequency). Effect most pronounced in flat-EEG subjects — most labile in vegetative reactions, prone to chronic fatigue and asthenic syndrome. The response reflects a biological system switching to a more cost-effective stress response pattern.
Talk Mode + Aires Resonator: Alpha power increased (instead of decreasing). More pronounced spindle-shaped modulation of alpha wave amplitude and bursts of low-frequency beta activity appeared. The correlation dimension indicator increased, indicating faster, more accurate information processing. The resonator transformed mobile phone EMR from a negative disorganizing factor into a factor that harmonizes the functional state of the CNS, engaging regulatory formations of the diencephalic level.

Conclusion

Mobile phone EMR reliably decreases CNS functional state as measured by alpha power and dominant frequency. The presence of an Aires resonator activates the body’s own adaptive processes, establishing structural and dynamic consistency between CNS state and the electromagnetic environment. The resonator does not merely block signal — it enables the brain to respond to EMF in a way that harmonizes rather than disorganizes.

Researcher’s conclusion: “In the presence of an AIRES resonator, a mobile phone’s external EMR transforms from a negative factor into a factor that harmonizes the functional state of the central nervous system.” — Dr. L.A. Rybina, 2020

Researcher: Dr. L.A. Rybina, Candidate of Biological Sciences  |  Institution: Pavlov Institute of Physiology, RAS  |  Year: 2020

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