Title :
Identifying voluntary components of human movement-related cortical potential associated with finger movements using wavelet transform
Author :
Kawada, Masatake
Author_Institution :
Tokushima Univ., Japan
Abstract :
Electroencephalogram (EEG) has been generally known as a non-destructive method to examine the function of human brain. This paper presents to identify time frequency components of Movement-Related Cortical Potential (MRCP) associated with the human voluntary muscle behaviors using 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- or left-hand index finger respectively and eyes closed. I have found the insights into the temporal dynamics of MRCP. The difference between the right and the left finger movements by the right-handed subjects in the time-frequency domain was shown in this study.
Keywords :
biomechanics; electroencephalography; medical signal processing; time-frequency analysis; wavelet transforms; 5-channel referential derivations; EEG; electroencephalogram; finger movements; human brain function; human movement-related cortical potential; human voluntary muscle behaviors; international 10-20 system; left finger movements; left-hand index finger; metacarpophalangeal joint; right earlobe; right finger movements; right-hand index finger; right-handed subjects; time frequency components; voluntary activity; voluntary components identification; wavelet transform; Cutoff frequency; Digital filters; Electrodes; Electroencephalography; Fingers; Humans; IIR filters; Low pass filters; Time frequency analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1280451