Electromyography Pattern Recognition
Electromyography Pattern Recognition is a computational method that distinguishes specific neuromuscular activation patterns from electromyographic signals by analyzing temporal, spectral, or spatial features to infer intended motor actions or physiological states.
711
Publications
38.9K
Citations
1.9K
Authors
728
Institutions
Publications per year
2017–2026
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Shirley Ryan AbilityLab
Chicago, United States
26 h-index
64 publications
9.3K citations
University of New Brunswick
Fredericton, Canada
24 h-index
70 publications
6.4K citations
Northwestern University
Evanston, United States
23 h-index
55 publications
7.8K citations

Shanghai Jiao Tong University
Shanghai, China
20 h-index
83 publications
4.8K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
103 publications
4.7K citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
17 h-index
78 publications
3.8K citations
University of Science and Technology of China
Hefei, China
15 h-index
52 publications
2.2K citations

University of Waterloo
Waterloo, Canada
13 h-index
29 publications
952 citations
1–8 of 728
39 publications · 2.6K citations
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31 publications · 3.7K citations
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27 publications · 2.9K citations
24
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17 publications · 878 citations
14
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14 publications · 761 citations
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