Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE
Joint Authors
Ning, Yong
Zhao, Yuming
Juraboev, Akbarjon
Tan, Ping
Ding, Jin
He, Jinbao
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A method based on measurement correlation (MC) and linear minimum mean square error (LMMSE) for multichannel surface electromyography (sEMG) signal decomposition was developed in this study.
This MC-LMMSE method gradually and iteratively increases the correlation between an optimized vector and a reconstructed matrix that is correlated with the measurement matrix.
The performance of the proposed MC-LMMSE method was evaluated with both simulated and experimental sEMG signals.
Simulation results show that the MC-LMMSE method can successfully reconstruct up to 53 innervation pulse trains with a true positive rate greater than 95%.
The performance of the MC-LMMSE method was also evaluated using experimental sEMG signals collected with a 64-channel electrode array from the first dorsal interosseous muscles of three subjects at different contraction levels.
A maximum of 16 motor units were successfully extracted from these multichannel experimental sEMG signals.
The performance of the MC-LMMSE method was further evaluated with multichannel experimental sEMG data by using the “two sources” method.
The large population of common MUs extracted from the two independent subgroups of sEMG signals demonstrates the reliability of the MC-LMMSE method in multichannel sEMG decomposition.
American Psychological Association (APA)
Ning, Yong& Zhao, Yuming& Juraboev, Akbarjon& Tan, Ping& Ding, Jin& He, Jinbao. 2018. Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1187009
Modern Language Association (MLA)
Ning, Yong…[et al.]. Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE. Journal of Healthcare Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1187009
American Medical Association (AMA)
Ning, Yong& Zhao, Yuming& Juraboev, Akbarjon& Tan, Ping& Ding, Jin& He, Jinbao. Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1187009
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187009