Pedaling Asymmetry Reflected by Bilateral EMG Complexity in Chronic Stroke

Author:

Bao Shi-Chun123ORCID,Sun Rui4ORCID,Tong Raymond Kai-Yu2ORCID

Affiliation:

1. National Innovation Center for Advanced Medical Devices, Shenzhen 518110, China

2. Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China

3. Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

4. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China

Abstract

This study examines pedaling asymmetry using the electromyogram (EMG) complexity of six bilateral lower limb muscles for chronic stroke survivors. Fifteen unilateral chronic stroke and twelve healthy participants joined passive and volitional recumbent pedaling tasks using a self-modified stationary bike with a constant speed of 25 revolutions per minute. The fuzzy approximate entropy (fApEn) was adopted in EMG complexity estimation. EMG complexity values of stroke participants during pedaling were smaller than those of healthy participants (p = 0.002). For chronic stroke participants, the complexity of paretic limbs was smaller than that of non-paretic limbs during the passive pedaling task (p = 0.005). Additionally, there was a significant correlation between clinical scores and the paretic EMG complexity during passive pedaling (p = 0.022, p = 0.028), indicating that the paretic EMG complexity during passive movement might serve as an indicator of stroke motor function status. This study suggests that EMG complexity is an appropriate quantitative tool for measuring neuromuscular characteristics in lower limb dynamic movement tasks for chronic stroke survivors.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Publisher

MDPI AG

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