Study Overview
This study by M. Sysoev examines how mobile phone electromagnetic field (EMF) exposure affects electroencephalogram (EEG) parameters, and the extent to which the presence of an Aires resonator modifies those effects. Conducted independently of parallel work by L. Rybina, this study provides a separate evidentiary basis for the same research question, strengthening the overall body of EEG evidence in the Aires program.
EEG studies are significant because they measure the brain’s direct bioelectrical response to environmental stimuli — in this case, the electromagnetic field produced by an active mobile phone. Changes in EEG frequency band power reflect shifts in neural processing and cortical state that can occur without the subject’s conscious awareness.
Methodology
Subjects were measured under controlled conditions comparing baseline EEG, EEG under mobile phone EMF exposure, and EEG under EMF exposure with an Aires device attached to the phone. The same standard EEG frequency bands were measured: delta, theta, alpha, and beta. Independent replication of the same protocol as concurrent EEG studies allows cross-study comparison of findings.
Key Findings
Scientific Context
The value of this study lies in its independence. Where a single study might reflect researcher-specific methodological choices or measurement conditions, two independently conducted studies using the same protocol and arriving at consistent conclusions substantially increase the credibility of both findings.
Sysoev subsequently co-authored a joint study with Rybina in 2025, the most recent EEG research in the Aires program. That study builds on both researchers’ earlier independent work and represents the current state of the EEG evidence base.
The mechanism proposed across all EEG studies in this cluster: the Aires fractal diffraction grating (Patent No. 2312384) coherently transforms incident EMF via a resonant microprocessor matrix, producing a transformed field that preserves signal information while reducing the biological disruption measurable in EEG parameters.