title: Corticomuscular coherence analysis on hand movement distinction for active rehabilitation.
abstract: Active rehabilitation involves patient's voluntary thoughts as the control signals of restore device to assist stroke rehabilitation. Although restoration of hand opening stands importantly in patient's daily life, it is difficult to distinguish the voluntary finger extension from thumb adduction and finger flexion using stroke patients' electroencephalography (EMG) on single muscle activity. We propose to implement corticomuscular coherence analysis on electroencephalography (EEG) and EMG signals on Extensor Digitorum to extract their intention involved in hand opening. EEG and EMG signals of 8 subjects are simultaneously collected when executing 4 hand movement tasks (finger extension, thumb adduction, finger flexion, and rest). We explore the spatial and temporal distribution of the coherence and observe statistically significant corticomuscular coherence appearing at left motor cortical area and different patterns within beta frequency range for 4 movement tasks. Linear discriminate analysis is applied on the coherence pattern to distinguish finger extension from thumb adduction, finger flexion, and rest. The classification results are greater than those by EEG only. The results indicate the possibility to detect voluntary hand opening based on coherence analysis between single muscle EMG signal and single EEG channel located in motor cortical area, which potentially helps active hand rehabilitation for stroke patients.
authors.affiliation: Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, Zhejiang 310027, China.
authors.forename: Xinxin
authors.initials: X
authors.lastname: Lou
authors.forename: Siyuan
authors.initials: S
authors.lastname: Xiao
authors.forename: Yu
authors.initials: Y
authors.lastname: Qi
authors.forename: Xiaoling
authors.initials: X
authors.lastname: Hu
authors.forename: Yiwen
authors.initials: Y
authors.lastname: Wang
authors.forename: Xiaoxiang
authors.initials: X
authors.lastname: Zheng
mesh_terms: D000328:Adult; D019295:Computational Biology; D004569:Electroencephalography / Q000706:statistics & numerical data; D004576:Electromyography / Q000706:statistics & numerical data; D005260:Female; D006225:Hand / Q000502:physiology; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009044:Motor Cortex / Q000503:physiopathology; D009068:Movement / Q000502:physiology; D009119:Muscle Contraction / Q000502:physiology; D012016:Reference Values; D020521:Stroke / Q000503:physiopathology*; D000071939:Stroke Rehabilitation; D055815:Young Adult