Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80102
Title: Corticomuscular coherence analysis on hand movement distinction for active rehabilitation
Authors: Lou, X
Xiao, S
Qi, Y
Hu, X 
Wang, Y
Zheng, X
Issue Date: 2013
Publisher: Hindawi Publishing Corporation
Source: Computational and mathematical methods in medicine, 2013, v. 2013, 908591, p. 1-10 How to cite?
Journal: Computational and mathematical methods in medicine 
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.
URI: http://hdl.handle.net/10397/80102
ISSN: 1748-670X
EISSN: 1748-6718
DOI: 10.1155/2013/908591
Rights: Copyright © 2013 Xinxin Lou et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication Lou, X., Xiao, S., Qi, Y., Hu, X., Wang, Y., & Zheng, X. (2013). Corticomuscular coherence analysis on hand movement distinction for active rehabilitation. Computational and Mathematical Methods in Medicine, 2013, 908591, 1-10 is available at https://dx.doi.org/10.1155/2013/908591
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Lou_Corticomuscular_Coherence_Analysis.pdf2.3 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents

SCOPUSTM   
Citations

4
Last Week
0
Last month
Citations as of Feb 21, 2019

WEB OF SCIENCETM
Citations

2
Citations as of Feb 19, 2019

Page view(s)

14
Citations as of Feb 19, 2019

Download(s)

1
Citations as of Feb 19, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.