TY - GEN
T1 - Corticomuscular coherence analysis on the static and dynamic tasks of hand movement
AU - Fu, Anshuang
AU - Xu, Rui
AU - He, Feng
AU - Qi, Hongzhi
AU - Zhang, Lixin
AU - Ming, Dong
AU - Bai, Yanru
AU - Zhang, Zhiguo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - The synchronization between cortical motor and muscular activity can be revealed by corticomuscular coherence (CMC). This paper designed two neuromuscular activity paradigms of hand movement, i.e. static gripping task and dynamic finger moving task. The electroencephalography (EEG) from C3 and C4 channels and the surface electromyography (sEMG) from the flexor digitorum superficialis were collected simultaneously from 4 male and 4 female right-handed healthy young subjects. For the static griping task, CMCs during lowlevel forces under 4%, 8%, and 16% MVC (Maximal Voluntary Contraction) were investigated by using magnitude squared coherence calculated from EEGs and sEMGs. For the dynamic finger moving task, the time-frequency domain analysis was used to process dynamic data of temporary action in a period of 2 seconds and get the latency of the maximum CMC. The results of this study indicated that the force increasing within the low-level range in static task is associated with the enhanced CMC. The maximum amplitude of CMC occurred about 0.3-0.5s after the onset of hand movement. Subjects showed significant CMC performance both in static and dynamic task of hand movement.
AB - The synchronization between cortical motor and muscular activity can be revealed by corticomuscular coherence (CMC). This paper designed two neuromuscular activity paradigms of hand movement, i.e. static gripping task and dynamic finger moving task. The electroencephalography (EEG) from C3 and C4 channels and the surface electromyography (sEMG) from the flexor digitorum superficialis were collected simultaneously from 4 male and 4 female right-handed healthy young subjects. For the static griping task, CMCs during lowlevel forces under 4%, 8%, and 16% MVC (Maximal Voluntary Contraction) were investigated by using magnitude squared coherence calculated from EEGs and sEMGs. For the dynamic finger moving task, the time-frequency domain analysis was used to process dynamic data of temporary action in a period of 2 seconds and get the latency of the maximum CMC. The results of this study indicated that the force increasing within the low-level range in static task is associated with the enhanced CMC. The maximum amplitude of CMC occurred about 0.3-0.5s after the onset of hand movement. Subjects showed significant CMC performance both in static and dynamic task of hand movement.
KW - Corticomuscular coherence
KW - Flexor digitorum superficialis
KW - Magnitude squared coherence
KW - Time-frequency domain analysis
UR - https://www.scopus.com/pages/publications/84940730440
U2 - 10.1109/ICDSP.2014.6900757
DO - 10.1109/ICDSP.2014.6900757
M3 - 会议稿件
AN - SCOPUS:84940730440
T3 - International Conference on Digital Signal Processing, DSP
SP - 715
EP - 718
BT - 2014 19th International Conference on Digital Signal Processing, DSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 19th International Conference on Digital Signal Processing, DSP 2014
Y2 - 20 August 2014 through 23 August 2014
ER -