Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation

Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation

sEMG-based pattern recognition commonly assumes a limited number of target categories, and the classifiers often predict each target category depending on probability. In wrist rehabilitation training, the patients may make movements that do not belong to the target category unconsciously. However,...

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Bibliographic Details
Main Authors: Dongdong Bu, Shuxiang Guo, Jin Guo, He Li, Hanze Wang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Micromachines
Subjects:
surface electromyography (sEMG)
wrist joint rehabilitation training
unrelated movements rejection
convolutional neural network (CNN)
autoencoder (AE)
Online Access:https://www.mdpi.com/2072-666X/14/3/555

Internet

https://www.mdpi.com/2072-666X/14/3/555

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