Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms

•This paper first reports using convolutional neural network (CNN) in shoulder muscle EMG signal processing, potentially to be used in upper arm exoskeleton motion control, clinical shoulder disorder diagnosis, clinical diagnosis of sport injury, evaluation of surgical treatment outcomes, time point...

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Bibliographic Details
Published in:	Computer methods and programs in biomedicine Vol. 197; p. 105721
Main Authors:	Jiang, Yongyu, Chen, Christine, Zhang, Xiaodong, Chen, Chaoyang, Zhou, Yang, Ni, Guoxin, Muh, Stephanie, Lemos, Stephen
Format:	Journal Article
Language:	English
Published:	Ireland Elsevier B.V 01.12.2020
Subjects:	Algorithms Convolutional neural network (CNN) Electromyography Electromyography (EMG) Hand Humans Machine Learning Motion Movement Pattern recognition Shoulder Motion Convolutional neural network (CNN) Pattern recognition Electromyography (EMG) Shoulder Machine learning
ISSN:	0169-2607, 1872-7565, 1872-7565
Online Access:	Get full text
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