Abstract

Sit-to-stand (STS) motion is an important daily activity, and many post-stroke patients have difficulty performing STS motion. Previous studies found that there are four muscle synergies (synchronized muscle activations) in the STS motion of healthy adults. However, for post-stroke patients, it is unclear whether muscle synergies change and which features primarily reflect motor impairment. Here, we use a machine learning method to demonstrate that temporal features in two muscle synergies that contribute to hip rising and balance maintenance motion reflect the motor impairment of post-stroke patients. Analyzing the muscle synergies of age-matched healthy elderly people ( n = 12 ) and post-stroke patients ( n = 33 ), we found that the same four muscle synergies could account for the muscle activity of post-stroke patients. Also, we were able to distinguish post-stroke patients from healthy people on the basis of the temporal features of these muscle synergies. Furthermore, these temporal features were found to correlate with motor impairment of post-stroke patients. We conclude that post-stroke patients can still utilize the same number of muscle synergies as healthy people, but the temporal structure of muscle synergies changes as a result of motor impairment. This could lead to a new rehabilitation strategy for post-stroke patients that focuses on activation timing of muscle synergies.

Highlights

  • T HIS study aimed to investigate the muscle synergy structure of post-stroke patients during sit-to-stand (STS) motion and to determine the primary features in muscle synergies that reflect the motor impairment of the patients

  • Different combinations of muscle activations might be utilized in post-stroke patients, whereas healthy people have more consistent coordinated muscle activation

  • The important temporal features that reflect the motor impairment of the STS motion were clarified by the random forest classifier

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Summary

Introduction

T HIS study aimed to investigate the muscle synergy structure of post-stroke patients during sit-to-stand (STS) motion and to determine the primary features in muscle synergies that reflect the motor impairment of the patients. Stroke is the second leading cause of death and a major leading cause of disability [1]. Stroke survivors often present sensorimotor impairments that limit their motor ability to perform activities such as walking [4], standing [5], and STS motion [6]. Some post-stroke patients may have the same evaluation score but different problems associated with their movement. It would be helpful to develop a quantitative evaluation method with respect to the specific motion of post-stroke patients that can reveal the patients’ deficits and provide advice regarding their rehabilitation

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