DocumentCode
2983855
Title
Modified corticomuscular coherence measurement and computation under static force output of human-machine interaction
Author
Ren, Yue ; Ming, Dong ; Li, Nannan ; Wang, Xin ; Xu, Rui ; Qi, Hongzhi ; Wan, Baikun ; Wang, Weijie ; Abboud, Rami
Author_Institution
Dept. of Biomed. Eng., Tianjin Univ., Tianjin, China
fYear
2012
fDate
2-4 July 2012
Firstpage
53
Lastpage
57
Abstract
Beta-rage electroencephalogram (EEG)-EMG coupling has been extensively investigated under different force output tasks of human-machine interaction over the past decades. By applying corticomuscular coherence (CMC), beta-range (15-30hz) coherence has been well investigated during static force condition as well as dynamic force condition. However, the traditional CMC method limits the two different signals within a same frequency band, thus, a large portion of useful frequency information may be lost. The present study addresses this problem by applying the modified CMC. The experimental results of 4 static force outputs with 8 subjects showed that by using the traditional CMC, as the force output increased, the dominant peak of EEG-EMG coherence spread from alpha and beta bands to gamma (30-45Hz) band, while by using the modified method, the highest EEG-EMG coherence value focused in beta band and a notable increasing tendency of coherence was achieved in gamma band as with the force value increased. By applying the modified method, more information under static force conditions instead of modulated force output have been obtained, there may be a promising application of this method in the neurophysiology study of motor control during human-machine interaction.
Keywords
electroencephalography; electromyography; human computer interaction; man-machine systems; medical signal processing; neurophysiology; CMC method; EEG-EMG coupling; alpha band; beta band; corticomuscular coherence measurement; dynamic force condition; electroencephalogram; frequency 15 Hz to 30 Hz; frequency 30 Hz to 45 Hz; gamma band; human-machine interaction; motor control; neurophysiology; static force condition; Coherence; Couplings; Electroencephalography; Electromyography; Force; Man machine systems; Muscles; EEG; EMG; corticomuscular coherence (CMC); human-machine interaction; static force output;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Measurement Systems and Applications (CIMSA), 2012 IEEE International Conference on
Conference_Location
Tianjin
ISSN
2159-1547
Print_ISBN
978-1-4577-1778-9
Type
conf
DOI
10.1109/CIMSA.2012.6269610
Filename
6269610
Link To Document