Integration of differences in EEG analysis reveals changes in human EEG caused by microwave.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference · 2006 · Mixed · Low evidence

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MixedLow evidencePaper 6432

In experiments exposing healthy volunteers to 450 MHz microwave radiation modulated at several frequencies, statistically significant changes in EEG rhythms energy and dynamics were observed in 12% to 30% of subjects using three analysis methods (S-parameter,…

Study snapshot

PublicationConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference · 2006
Study typeother
Reported directionMixed
Evidence ratingLow

Abstract

Three different methods in combination with integration of differences in signals were applied for EEG analysis to distinguish changes in EEG caused by microwave: S-parameter, power spectral density and length distribution of low variability periods. The experiments on the effect of modulated low-level microwaves on human EEG were carried out on four different groups of healthy volunteers exposed to 450 MHz microwave radiation modulated with 7 Hz, 14 Hz, 21 Hz, 40 Hz, 70 Hz, 217 or 1000 Hz frequencies. The field power density at the scalp was 0.16 mW/cm2. The EEG analysis performed for individuals with three different methods showed that statistically significant changes occur in the EEG rhythms energy and dynamics between 12% and 30% of subjects.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeother
Effect directionmixed
PopulationHealthy volunteers
Sample sizeNot supplied
ExposureRF · 450 MHz
Evidence strengthLowConfidence: 74% · Peer reviewed: yes

Main findings

In experiments exposing healthy volunteers to 450 MHz microwave radiation modulated at several frequencies, statistically significant changes in EEG rhythms energy and dynamics were observed in 12% to 30% of subjects using three analysis methods (S-parameter, power spectral density, and low-variability-period length distribution).

Outcomes measured

  • EEG rhythms energy
  • EEG dynamics
  • EEG power spectral density
  • EEG low variability periods length distribution

Limitations

  • Sample size not reported in the abstract
  • Exposure duration not reported in the abstract
  • No SAR reported (only field power density at scalp)
  • Effects reported only for a subset of subjects (12%–30%), suggesting heterogeneity
View raw extracted JSON
{
  "study_type": "other",
  "exposure": {
    "band": "RF",
    "source": null,
    "frequency_mhz": 450,
    "sar_wkg": null,
    "duration": null
  },
  "population": "Healthy volunteers",
  "sample_size": null,
  "outcomes": [
    "EEG rhythms energy",
    "EEG dynamics",
    "EEG power spectral density",
    "EEG low variability periods length distribution"
  ],
  "main_findings": "In experiments exposing healthy volunteers to 450 MHz microwave radiation modulated at several frequencies, statistically significant changes in EEG rhythms energy and dynamics were observed in 12% to 30% of subjects using three analysis methods (S-parameter, power spectral density, and low-variability-period length distribution).",
  "effect_direction": "mixed",
  "limitations": [
    "Sample size not reported in the abstract",
    "Exposure duration not reported in the abstract",
    "No SAR reported (only field power density at scalp)",
    "Effects reported only for a subset of subjects (12%–30%), suggesting heterogeneity"
  ],
  "evidence_strength": "low",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "EEG",
    "microwave",
    "450 MHz",
    "RF exposure",
    "modulation",
    "power spectral density",
    "S-parameter",
    "low variability periods",
    "healthy volunteers"
  ],
  "suggested_hubs": []
}
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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1109/iembs.2006.259234
PubMed: 17946053

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