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

Authors

1.4K

  1. CJ
    Carlo J. De Luca

    Boston University, United States

    9 publications · 848 citations

    9

    h-index

  2. DF
    Dario Farina

    Aalborg University, Denmark

    8 publications · 1.1K citations

    8

    h-index

  3. PZ
    Ping Zhou

    Memorial Hermann Institute for Rehabilitation and Research Foundation, United States

    7 publications · 612 citations

    7

    h-index

  4. SH
    S. Hamid Nawab

    Boston University, United States

    6 publications · 587 citations

    6

    h-index

  5. RM
    Roberto Merletti

    Politecnico di Torino, Italy

    6 publications · 281 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. Journal of Electromyography and Kinesiology

    24 publications · 2.3K citations

    21

    h-index

  2. IEEE Transactions on Biomedical Engineering

    18 publications · 1.4K citations

    18

    h-index

  3. PubMed

    Repository · 16 publications · 677 citations

    15

    h-index

  4. Biomedical Signal Processing and Control

    16 publications · 783 citations

    14

    h-index

  5. Journal of Biomechanics

    7 publications · 520 citations

    7

    h-index

1–5