Electromyography Wavelet Analysis

Electromyography Wavelet Analysis is a signal processing technique that applies wavelet transforms to electromyographic data to enable time-frequency decomposition and localized analysis of muscle activity patterns.

147

Publications

7.2K

Citations

438

Authors

225

Institutions

Publications per year

2017–2026

27

Authors

438

  1. JM
    James M. Wakeling

    Simon Fraser University, Canada

    10 publications · 729 citations

    10

    h-index

  2. VV
    Vinzenz von Tscharner

    University of Calgary, Canada

    7 publications · 646 citations

    7

    h-index

  3. TW
    Travis W. Beck

    University of Oklahoma, United States

    6 publications · 204 citations

    6

    h-index

  4. BM
    Benno M. Nigg

    University of Calgary, Canada

    4 publications · 254 citations

    4

    h-index

  5. JT
    Joel T. Cramer

    University of Nebraska–Lincoln, United States

    4 publications · 196 citations

    4

    h-index

1–5 of 438

Venues

  1. Journal of Electromyography and Kinesiology

    16 publications · 1.3K citations

    14

    h-index

  2. Muscle & Nerve

    6 publications · 146 citations

    6

    h-index

  3. Journal of Neurophysiology

    JN · 5 publications · 254 citations

    5

    h-index

  4. Medical Engineering & Physics

    5 publications · 334 citations

    5

    h-index

  5. Computers in Biology and Medicine

    5 publications · 218 citations

    5

    h-index

1–5