sEMG-based continuous estimation of grasp movements by long-short term memory network-Reference-Cited by-同舟云学术

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sEMG-based continuous estimation of grasp movements by long-short term memory network

Published:2020-05 Issue: Volume:59 Page:101774
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Chao,Guo Weiyu,Zhang Hang,Guo Linlin,Huang Changcheng,Lin Chuang

Funder

Shenzhen Basic Research Grants

Pioneer Hundred Talents Program of Chinese Academy of Sciences

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference46 articles.

1. The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges;Farina;IEEE Trans. Neural Syst. Rehabil. Eng.,2014

2. An EMG-based robot control scheme robust to time-varying EMG signal features;Artemiadis;IEEE Trans. Inform. Technol. Biomed.,2010

3. Functional separation of EMG signals via ARMA identification methods for prosthesis control purposes;Graupe;IEEE Trans. Syst. Man. Cybernet. SMC-5 (2),1975

4. Statistical decision making in the real-time control of an arm aid for the disabled;Lawrence;IEEE Trans. Syst. Man Cybernet. SMC-2 (1),1972

5. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses;Englehart;IEEE Trans. Biomed. Eng.,2005

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