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Application of the continuous wavelet transform for the analysis of pathological severity degree of electromyograms (EMGs) signals Cover

Application of the continuous wavelet transform for the analysis of pathological severity degree of electromyograms (EMGs) signals

Polish Journal of Medical Physics and Engineering
Volume 26 (2020): Issue 3 (September 2020)
By: Aicha Mokdad,  Sidi Mohammed El Amine Debbal and  Fadia Meziani  
Open Access
|Sep 2020

Authors

Aicha Mokdad

Genie Biomedical Laboratory (GBM), Faculty of Technology, University of Abou Bekr Belkaid Tlemcen, Tlemcen, Algeria

Sidi Mohammed El Amine Debbal

adebbal@yahoo.fr

Genie Biomedical Laboratory (GBM), Faculty of Technology, University of Abou Bekr Belkaid Tlemcen, Tlemcen, Algeria

Fadia Meziani

Genie Biomedical Laboratory (GBM), Faculty of Technology, University of Abou Bekr Belkaid Tlemcen, Tlemcen, Algeria
DOI: https://doi.org/10.2478/pjmpe-2020-0017 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
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Language: English
Page range: 149 - 154
Submitted on: Mar 31, 2020
|
Accepted on: Jun 6, 2020
|
Published on: Sep 29, 2020
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
EMG,
parameters,
time-frequency,
continuous wavelet,
severity
Related subjects:
Medicine,
Biomedical engineering,
Physics,
Technical and applied physics,
Medical physics

© 2020 Aicha Mokdad, Sidi Mohammed El Amine Debbal, Fadia Meziani, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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