A Novel and Efficient Surface Electromyography Decomposition Algorithm Using Local Spatial Information-Reference-Cited by-同舟云学术

A Novel and Efficient Surface Electromyography Decomposition Algorithm Using Local Spatial Information

Published:2023-01 Issue:1 Volume:27 Page:286-295
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Xu Yang¹^ORCID,Yu Yang¹^ORCID,Xia Miaojuan¹^ORCID,Sheng Xinjun¹^ORCID,Zhu Xiangyang¹^ORCID

Affiliation:

1. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10006388/09904323.pdf?arnumber=9904323

Reference47 articles.

1. Prediction of finger kinematics from discharge timings of motor units: implications for intuitive control of myoelectric prostheses

2. The motor unit potential distribution over the skin surface and its use in estimating the motor unit location

3. Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time

4. A new and fast approach towards sEMG decomposition

5. A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials - Part I: Technique, Theory, and Implementation

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