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Human brain wave activity during exposure to radiofrequency field emissions from mobile phones

Overview of attention for article published in Physical and Engineering Sciences in Medicine, December 2003
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Title
Human brain wave activity during exposure to radiofrequency field emissions from mobile phones
Published in
Physical and Engineering Sciences in Medicine, December 2003
DOI 10.1007/bf03179176
Pubmed ID
Authors

H. D…Costa, G. Trueman, L. Tang, U. Abdel-rahman, W. Abdel-rahman, K. Ong, I. Cosic

Abstract

The aim of this study was to determine whether there is an effect of mobile phone electromagnetic field emissions on the human electroencephalograph (EEG). EEG recordings from ten awake subjects were taken during exposure to radiofrequency (RF) emissions from a mobile phone positioned behind the head. Two experimental trials were conducted. In the first trial, RF exposures were generated by a GSM mobile phone with the speaker disabled and configured to transmit at full-radiated power. During the second trial, exposures were generated by a non-modified GSM mobile phone in active standby mode. For each trial, subjects were exposed in five minute intervals to a randomized, interrupted sequence of five active and five sham exposures. The experiment was conducted under single-blind conditions. The average EEG band power in active exposure recordings was compared to corresponding sham recordings. Statistical tests indicated significant difference in the full-power mode trial within the EEG alpha (8-13 Hz) and beta (13-32 Hz) bands. A subsequent statistical analysis of median spectral power in discrete EEG rhythms revealed significant differences in 7 of the 32 distinct frequencies overall. In conclusion, the results of this study lend support to EEG effects from mobile phones activated in talk-mode.

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Student > Bachelor 4 12%
Student > Postgraduate 3 9%
Professor > Associate Professor 3 9%
Student > Ph. D. Student 3 9%
Other 6 18%
Unknown 7 21%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Neuroscience 3 9%
Engineering 3 9%
Psychology 2 6%
Nursing and Health Professions 2 6%
Other 6 18%
Unknown 10 30%