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

254

Authors

1.9K

  1. GL
    Guanglin Li

    Shenzhen Institutes of Advanced Technology, China

    22 publications · 1.3K citations

    17

    h-index

  2. XZ
    Xiangyang Zhu

    Shanghai Jiao Tong University, China

    18 publications · 1K citations

    17

    h-index

  3. KE
    Kevin Englehart

    University of New Brunswick, Canada

    20 publications · 2.7K citations

    16

    h-index

  4. ES
    Erik Scheme

    University of New Brunswick, Canada

    20 publications · 2.4K citations

    16

    h-index

  5. LJ
    Levi J. Hargrove

    Shirley Ryan AbilityLab, United States

    18 publications · 2.1K citations

    15

    h-index

1–5 of 1.9K

Venues

  1. Biomedical Signal Processing and Control

    39 publications · 2.6K citations

    27

    h-index

  2. IEEE Transactions on Biomedical Engineering

    31 publications · 3.7K citations

    25

    h-index

  3. 24

    h-index

  4. Medical & Biological Engineering & Computing

    17 publications · 878 citations

    14

    h-index

  5. Medical Engineering & Physics

    14 publications · 761 citations

    14

    h-index

1–5