DocumentCode
1952841
Title
Average spectral analysis of EEG signal from imagined writing
Author
Zabidi, Azlee ; Mansor, W. ; Lee, Khuan Y. ; Che Wan Fadzal, C.W.N.F.
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
960
Lastpage
963
Abstract
Electroencephalogram (EEG) is a tool to record and measure activity of the brain. The spontaneous electrical activity of the brain causes by ionic current flows within the neurons of the brain is collected from electrodes that are placed on the scalp. Analysis on EEG can help us to study the relation between motor imaginary and actual movement during a specific task. EEG data recorded during actual writing and imagined writing were analyzed using Average Spectrum by averaging the spectrum computed (using Fast Fourier Transform) over the number of frames. Result showed that there is similarity in the EEG signals obtained during actual writing and imagined writing.
Keywords
bioelectric phenomena; biomedical electrodes; data recording; electroencephalography; fast Fourier transforms; medical signal processing; neurophysiology; spectral analysis; EEG data recording; EEG signal analysis; average spectral analysis; average spectrum; brain; electrodes; electroencephalogram; fast Fourier transform; imagined writing; ionic current flows; motor imaginary; neurons; spontaneous electrical activity; Average Spectrum; Electroencephalogram; Fast Fourier Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location
Langkawi
Print_ISBN
978-1-4673-1664-4
Type
conf
DOI
10.1109/IECBES.2012.6498204
Filename
6498204
Link To Document