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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Published in | Procedia, social and behavioral sciences Vol. 97; pp. 538 - 545 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
06.11.2013
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Abstract | 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. |
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AbstractList | 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. |
Author | Fuad, N. Omar, W.R.W. Pasya, I. Adnan, S.F.S. Kutty, S.B. Norhazman, H. Taib, M.N. Jahidin, A.H. Isa, R.M. |
Author_xml | – sequence: 1 givenname: R.M. surname: Isa fullname: Isa, R.M. email: rosehakimah@yahoo.com – sequence: 2 givenname: I. surname: Pasya fullname: Pasya, I. – sequence: 3 givenname: M.N. surname: Taib fullname: Taib, M.N. – sequence: 4 givenname: A.H. surname: Jahidin fullname: Jahidin, A.H. – sequence: 5 givenname: W.R.W. surname: Omar fullname: Omar, W.R.W. – sequence: 6 givenname: N. surname: Fuad fullname: Fuad, N. – sequence: 7 givenname: H. surname: Norhazman fullname: Norhazman, H. – sequence: 8 givenname: S.B. surname: Kutty fullname: Kutty, S.B. – sequence: 9 givenname: S.F.S. surname: Adnan fullname: Adnan, S.F.S. |
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Title | Classification of Brainwave Asymmetry Influenced by Mobile Phone Radiofrequency Emission |
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