Classification of Brainwave Asymmetry Influenced by Mobile Phone Radiofrequency Emission

A discriminant classification of human brainwave signals influenced by mobile phone radiofrequency (RF) emission is proposed in this paper. Brainwave signals were recorded using electroencephalograph (EEG) focusing on the alpha sub-band with frequency range from 8 to 12Hz. The EEG test was divided i...

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Bibliographic Details
Published inProcedia, social and behavioral sciences Vol. 97; pp. 538 - 545
Main Authors Isa, R.M., Pasya, I., Taib, M.N., Jahidin, A.H., Omar, W.R.W., Fuad, N., Norhazman, H., Kutty, S.B., Adnan, S.F.S.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 06.11.2013
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Summary:A discriminant classification of human brainwave signals influenced by mobile phone radiofrequency (RF) emission is proposed in this paper. Brainwave signals were recorded using electroencephalograph (EEG) focusing on the alpha sub-band with frequency range from 8 to 12Hz. The EEG test was divided into 3 sessions; Before, During and After with 5minutes duration for each session. Analysis involved 95 participants from engineering students. The students were grouped into 3 groups according to the side of exposure; Left Exposure (LE), Right Exposure (RE) and Sham Exposure (SE). This work suggested that RF emit by the mobile phone give several effects to brainwave signals and there are significant different between the session of exposure. As result, the highest classification rate as high as 94.7% is achieved in session During.
ISSN:1877-0428
1877-0428
DOI:10.1016/j.sbspro.2013.10.270