Electromyographic Pattern Analysis

Electromyographic Pattern Analysis is a methodological framework that distinguishes itself by enabling the systematic decomposition and interpretation of muscle activation patterns through the temporal and spectral analysis of electromyographic signals to infer neuromuscular control strategies.

1.8K

Publications

98.5K

Citations

5.1K

Authors

1.6K

Institutions

Publications per year

2017–2026

250

Authors

5.1K

  1. DF
    Dario Farina

    Aalborg University, Denmark

    21 publications · 2.1K citations

    20

    h-index

  2. MP
    Marilyn Pink

    Centinela Hospital Medical Center, United States

    17 publications · 2.2K citations

    17

    h-index

  3. JP
    Jacquelin Perry

    Rancho Los Amigos National Rehabilitation Center, United States

    17 publications · 2K citations

    17

    h-index

  4. PZ
    Ping Zhou

    Memorial Hermann Institute for Rehabilitation and Research Foundation, United States

    15 publications · 1.3K citations

    15

    h-index

  5. ES
    Erik Stålberg

    Uppsala University Hospital, Sweden

    17 publications · 1.3K citations

    15

    h-index

1–5 of 5.1K

Venues

  1. Journal of Electromyography and Kinesiology

    125 publications · 7.4K citations

    47

    h-index

  2. PubMed

    Repository · 142 publications · 5.1K citations

    39

    h-index

  3. European Journal of Applied Physiology

    44 publications · 3K citations

    29

    h-index

  4. Journal of Neurophysiology

    JN · 35 publications · 3.3K citations

    27

    h-index

  5. IEEE Transactions on Biomedical Engineering

    29 publications · 2.1K citations

    23

    h-index

1–5