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Effects of mobile phone electromagnetic fields on brain waves in healthy volunteers
by
Eisma, Yke B.
, van der Meer, Johan N.
, Meester, Ronald
, Jacobs, Marc
, Nederveen, Aart J.
in
631/443/376
/ 692/499
/ Bayes Theorem
/ Bayesian analysis
/ Brain
/ Brain Waves
/ Cell Phone
/ EEG
/ Electromagnetic fields
/ Electromagnetic Fields - adverse effects
/ Electromagnetism
/ Environmental factors
/ Healthy Volunteers
/ Humanities and Social Sciences
/ Humans
/ Low frequency
/ multidisciplinary
/ Radio Waves
/ Science
/ Science (multidisciplinary)
/ Statistics
2023
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Effects of mobile phone electromagnetic fields on brain waves in healthy volunteers
by
Eisma, Yke B.
, van der Meer, Johan N.
, Meester, Ronald
, Jacobs, Marc
, Nederveen, Aart J.
in
631/443/376
/ 692/499
/ Bayes Theorem
/ Bayesian analysis
/ Brain
/ Brain Waves
/ Cell Phone
/ EEG
/ Electromagnetic fields
/ Electromagnetic Fields - adverse effects
/ Electromagnetism
/ Environmental factors
/ Healthy Volunteers
/ Humanities and Social Sciences
/ Humans
/ Low frequency
/ multidisciplinary
/ Radio Waves
/ Science
/ Science (multidisciplinary)
/ Statistics
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Effects of mobile phone electromagnetic fields on brain waves in healthy volunteers
by
Eisma, Yke B.
, van der Meer, Johan N.
, Meester, Ronald
, Jacobs, Marc
, Nederveen, Aart J.
in
631/443/376
/ 692/499
/ Bayes Theorem
/ Bayesian analysis
/ Brain
/ Brain Waves
/ Cell Phone
/ EEG
/ Electromagnetic fields
/ Electromagnetic Fields - adverse effects
/ Electromagnetism
/ Environmental factors
/ Healthy Volunteers
/ Humanities and Social Sciences
/ Humans
/ Low frequency
/ multidisciplinary
/ Radio Waves
/ Science
/ Science (multidisciplinary)
/ Statistics
2023
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Effects of mobile phone electromagnetic fields on brain waves in healthy volunteers
Journal Article
Effects of mobile phone electromagnetic fields on brain waves in healthy volunteers
2023
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Overview
The interaction between biological tissue and electromagnetic fields (EMF) is a topic of increasing interest due to the rising prevalence of background EMF in the past decades. Previous studies have attempted to measure the effects of EMF on brainwaves using EEG recordings, but are typically hampered by experimental and environmental factors. In this study, we present a framework for measuring the impact of EMF on EEG while controlling for these factors. A Bayesian statistical approach is employed to provide robust statistical evidence of the observed EMF effects. This study included 32 healthy participants in a double-blinded crossover counterbalanced design. EEG recordings were taken from 63 electrodes across 6 brain regions. Participants underwent a measurement protocol comprising two 18-min sessions with alternating blocks of eyes open (EO) and eyes closed (EC) conditions. Group 1 (n = 16) had EMF during the first session and sham during the second session; group 2 (n = 16) had the opposite. Power spectral density plots were generated for all sessions and brain regions. The Bayesian analysis provided statistical evidence for the presence of an EMF effect in the alpha band power density in the EO condition. This measurement protocol holds potential for future research on the impact of novel transmission protocols.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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