Spectral Characteristics Analysis of Electromyography Signals Recorded During Dynamic Contractions-Reference-Cited by-同舟云学术

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Spectral Characteristics Analysis of Electromyography Signals Recorded During Dynamic Contractions

Published:2023-07-03 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)
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Author:

De S. Schiaber Pâmela¹,Scalassara Paulo R.¹,Endo Wagner¹,Agulhari Cristiano M.¹,Altimari Leandro R.²,Junior Sylvio Barbon³

Affiliation:

1. Federal University of Technology — Parana (UTFPR),Department of Electrical Engineering,Brazil

2. State University of Londrina,Department of Physical Education,Londrina,Paraná,Brazil

3. University of Trieste,Department of Architecture and Electrical Engineering,Trieste,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10284032/10284045/10284130.pdf?arnumber=10284130

Reference21 articles.

1. Techniques of EMG signal analysis: detection, processing, classification and applications

2. Opportunities and challenges in explainable arti-ficial intelligence (xai): A survey;das;ArXiv Preprint,2020

3. Electromyographic models to assess muscle fatigue

4. A comparison of EMG-based muscle fatigue assessments during dynamic contractions

5. Spectral analysis of electromyographic signal in supramaximal effort in cycle ergometer using Fourier and Wavelet transforms: a comparative study

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