Wavelet-based Electromyography Analysis

Wavelet-Based Electromyography Analysis is a signal processing method that applies wavelet transforms to electromyographic signals for time-frequency decomposition, enabling high-resolution analysis of non-stationary muscle activity patterns.

147

Publications

6.7K

Citations

479

Authors

230

Institutions

Publications per year

2017–2026

33

Authors

479

  1. JM
    James M. Wakeling

    Simon Fraser University, Canada

    6 publications · 452 citations

    6

    h-index

  2. VV
    Vinzenz von Tscharner

    University of Calgary, Canada

    5 publications · 172 citations

    5

    h-index

  3. AS
    Abdülhamit Subaşı

    Effat University, Saudi Arabia

    4 publications · 538 citations

    4

    h-index

  4. TW
    Travis W. Beck

    University of Oklahoma, United States

    4 publications · 164 citations

    4

    h-index

  5. MF
    Michele Folgheraiter

    Politecnico di Milano, Italy

    3 publications · 85 citations

    3

    h-index

1–5 of 479

Venues

  1. Journal of Electromyography and Kinesiology

    15 publications · 890 citations

    14

    h-index

  2. Computers in Biology and Medicine

    5 publications · 218 citations

    5

    h-index

  3. IEEE Transactions on Biomedical Engineering

    5 publications · 267 citations

    5

    h-index

  4. Biomedical Signal Processing and Control

    5 publications · 522 citations

    5

    h-index

  5. Journal of Neuroscience Methods

    5 publications · 371 citations

    5

    h-index

1–5