Surface Electromyographic Analysis of the Forearm in Forehand and Backhand Techniques in Table Tennis Players
This study focuses on analyzing muscle fatigue in the forearm muscles of table tennis players using surface electromyo- graphy (sEMG). The primary objective is to detect the onset of muscle fatigue during forehand and backhand strokes. sEMG signals were acquired, preprocessed through normalization, and analyzed using the Daubechies 4 (db4) wavelet transform for noise reduction. Feature extraction was performed to identify indicators of fatigue. A portable device was implemented to facilitate data collection, but the main emphasis was on the analysis and interpretation of the sEMG data. The results demonstrate the ability to provide detailed feedback on muscle activation and fatigue, potentially enhancing player performance and injury prevention.
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