An Exercise Fatigue Detection Model Based on Machine Learning Methods

7 Mar 2018 Ming-Yen Wu Chi-Hua Chen Chi-Chun Lo

This study proposes an exercise fatigue detection model based on real-time clinical data which includes time domain analysis, frequency domain analysis, detrended fluctuation analysis, approximate entropy, and sample entropy. Furthermore, this study proposed a feature extraction method which is combined with an analytical hierarchy process to analyze and extract critical features... (read more)

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