DocumentCode
380518
Title
Visualization of time-frequency components of human movement-related cortical potential using wavelet transform
Author
KAWADA, Masatake
Author_Institution
Dept. of Syst. Manage. & Eng., Nagoya Inst. of Technol., Japan
Volume
1
fYear
2001
fDate
2001
Firstpage
643
Abstract
An electroencephalogram (EEG) has been generally known as a non-destructive method to examine the function of the human brain. This paper presents a method to visualize the time-frequency components of movement-related cortical potential (MRCP) accompanying the human voluntary muscle behavior using a wavelet transform. The EEG was recorded with the 5-channel referential derivations, Fz, Cz, C3,C4, Pz, referenced to the right earlobe based on the international 10-20 system. The voluntary activity was recorded with the electrode placed on the palm side of the metacarpophalangeal joint when the subjects flexed the right-hand index finger with eyes closed. I have found the following insights into the temporal dynamics of MRCP. At about 10 Hz, signals were recorded at all electrodes when the voluntary activity started. The higher level signals of about 10 Hz were recorded at Fz from about 0.4 s after the activity started. About 5 Hz signals appeared at all electrodes from about 1.0 s to 0.2 s before the activity started. Many trials are not needed for this method to visualize the time-frequency components of the MRCP.
Keywords
biomechanics; biomedical electrodes; electroencephalography; medical signal processing; muscle; time series; time-frequency analysis; wavelet transforms; 0.4 s; 1.0 to 0.2 s; 10 Hz; 5-channel referential derivations; EEG; closed eyes; electrode; electroencephalogram; higher level signals; human movement-related cortical potential; human voluntary muscle behavior; international 10-20 system; metacarpophalangeal joint; palm side; right earlobe; right-hand index finger; temporal dynamics; time-frequency components visualization; voluntary activity; wavelet transform; Cutoff frequency; Digital filters; Electrodes; Electroencephalography; Frequency measurement; Humans; Low pass filters; Time frequency analysis; Visualization; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1019017
Filename
1019017
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