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
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;
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1664-4
DOI :
10.1109/IECBES.2012.6498204