Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses-Reference-Cited by-同舟云学术

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Functionally Adaptive Myosite Selection Using High-Density sEMG for Upper Limb Myoelectric Prostheses

Published:2023-10 Issue:10 Volume:70 Page:2980-2990
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Greene Rebecca J.¹^ORCID,Hunt Christopher²^ORCID,Kumar Sapna²^ORCID,Betthauser Joseph¹^ORCID,Routkevitch Denis³^ORCID,Kaliki Rahul R.²^ORCID,Thakor Nitish V.⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA

2. Department of Biomedical Engineering, Johns Hopkins University, USA

3. School of Medicine, Johns Hopkins University, USA

4. Department of Biomedical Engineering and Electrical and Computer Engineering, Johns Hopkins University, USA

Funder

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10265275/10126101.pdf?arnumber=10126101

Reference46 articles.

1. A Comparison of the Effects of Electrode Implantation and Targeting on Pattern Classification Accuracy for Prosthesis Control

2. The Divergence and Bhattacharyya Distance Measures in Signal Selection

3. A Quasi-Optimal Channel Selection Method for Bioelectric Signal Classification Using a Partial Kullback–Leibler Information Measure

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