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Entropy 2016, 18(4), 106; doi:10.3390/e18040106

Complexity Analysis of Surface EMG for Overcoming ECG Interference toward Proportional Myoelectric Control

1
Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China
2
Department of Rehabilitation Medicine, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
3
Guangdong Work Injury Rehabilitation Center, Guangzhou 510440, China
4
Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, and TIRR Memorial Hermann Research Center, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Raúl Alcaraz Martínez
Received: 7 December 2015 / Revised: 3 February 2016 / Accepted: 14 March 2016 / Published: 30 March 2016
View Full-Text   |   Download PDF [1073 KB, uploaded 30 March 2016]   |  

Abstract

Electromyographic (EMG) signals from muscles in the body torso are often contaminated by electrocardiography (ECG) interferences, which consequently compromise EMG intensity estimation. The ECG interference has become a barrier to proportional control of myoelectric prosthesis using a neural machine interface called targeted muscle reinnervation (TMR), which involves transferring the residual amputated nerves to nonfunctional muscles (typically pectoralis muscles for high level amputations). This study investigates a novel approach toward implementation of proportional myoelectric control by applying sample entropy (SampEn) analysis of surface EMG signals for robust intensity estimation in the presence of significant ECG interference. Surface EMG data from able-bodied and TMR amputee subjects with different degrees of ECG interference were used for performance evaluation. The results showed that the SampEn analysis had high correlation with surface EMG amplitude measurement but low sensitivity to different degrees of ECG interference. Taking this advantage, SampEn analysis of surface EMG signal can be used to facilitate implementation of proportional myoelectric control against ECG interference. This is particularly important for TMR prosthesis users. View Full-Text
Keywords: surface electromyography; proportional myoelectric control; electrocardiography; sample entropy; targeted muscle reinnervation surface electromyography; proportional myoelectric control; electrocardiography; sample entropy; targeted muscle reinnervation
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Zhang, X.; Ren, X.; Gao, X.; Chen, X.; Zhou, P. Complexity Analysis of Surface EMG for Overcoming ECG Interference toward Proportional Myoelectric Control. Entropy 2016, 18, 106.

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