Signal Processing For Emg
Signal Processing for EMG is a methodological framework within prosthetic control systems that encompasses the acquisition, conditioning, feature extraction, and classification of electromyographic signals to decode user intent for precise and responsive prosthesis operation.
418
Publications
19.2K
Citations
1.4K
Authors
534
Institutions
Publications per year
2017–2026
90
Parents
418
Ning Jiang, Kevin Englehart, P.A. Parker · IEEE Transactions on Biomedical Engineering · 2008 · 453 citations
1–5 of 418
1.4K
9
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8
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Memorial Hermann Institute for Rehabilitation and Research Foundation, United States
7 publications · 612 citations
7
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6
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6
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1–5 of 1.4K
534
Politecnico di Torino
Turin, Italy
10 h-index
23 publications
1.5K citations
Boston University
Boston, United States
9 h-index
22 publications
1.6K citations
Aalborg University
Aalborg, Denmark
6 h-index
9 publications
851 citations

Harbin Institute of Technology
Harbin, China
6 h-index
22 publications
1.7K citations
University of Science and Technology of China
Hefei, China
6 h-index
14 publications
714 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
24 publications
1K citations

Hiroshima University
Hiroshima, Japan
6 h-index
12 publications
189 citations

McMaster University
Hamilton, Canada
5 h-index
9 publications
327 citations
1–8 of 534
24 publications · 2.3K citations
21
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18 publications · 1.4K citations
18
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Repository · 16 publications · 677 citations
15
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16 publications · 783 citations
14
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7 publications · 520 citations
7
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1–5