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
Link To Document :
بازگشت