The Muscle Fatigue’s Effects on the sEMG-Based Gait Phase Classification: An Experimental Study and a Novel Training Strategy

The Muscle Fatigue’s Effects on the sEMG-Based Gait Phase Classification: An Experimental Study and a Novel Training Strategy

Surface Electromyography (sEMG) enables an intuitive control of wearable robots. The muscle fatigue-induced changes of sEMG signals might limit the long-term usage of the sEMG-based control algorithms. This paper presents the performance deterioration of sEMG-based gait phase classifiers, explains t...

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Bibliographic Details
Main Authors: Jianfei Zhu, Chunzhi Yi, Baichun Wei, Chifu Yang, Zhen Ding, Feng Jiang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
electromyography
gait phase classification
muscle fatigue
wearable robots
Online Access:https://www.mdpi.com/2076-3417/11/9/3821

Internet

https://www.mdpi.com/2076-3417/11/9/3821

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