Deep Learning Classification of Simulated Surface EMG Signals across Maximum Voluntary Contraction Levels

Deep Learning Classification of Simulated Surface EMG Signals across Maximum Voluntary Contraction Levels

Electromyography (EMG) is a fundamental tool in diagnosing neuromuscular disorders (NMD). Due to the complex nature of EMG signals, different approaches, based on artificial intelligence and machine learning, were developed for EMG signal analysis and NMD diagnosis. Considering the critical role of...

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Bibliographic Details
Main Authors: Radhouane Hammach, Samia Belkacem, Noureddine Messaoudi, Raïs El’hadi Bekka
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2025-03-01
Series:International Journal Bioautomation
Subjects:
artificial intelligence (ai)
diagnosis
electromyography (emg)
muscle fatigue
Online Access:http://www.biomed.bas.bg/bioautomation/2025/vol_29.1/files/29.1_03.pdf
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