Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition-Reference-Cited by-同舟云学术

Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition

Published:2022-04 Issue: Volume:74 Page:103487
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wei Chunfeng,Wang Hong,Hu Fo,Zhou Bin,Feng Naishi,Lu Yanzheng,Tang Hao,Jia Xiaocong

Funder

National Key Research and Development Program of China

Key Technologies Research and Development Program

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference60 articles.

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4. SEMG-based multifeatures and predictive model for knee-joint-angle estimation;Yang;AIP Adv.,2019

5. A smart terrain identification technique based on electromyography, ground reaction force, and machine learning for lower limb rehabilitation;Gao;Appl. Sci.,2020

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