Evaluation of fatigue using heart rate variability and myoelectric signals during skiing

We studied the change in functional activities during skiing exercise for a whole day, in terms of the interactions between cardiovascular and neuromuscular activities with the progression of fatigue. To evaluate functional activities at each phase, we developed a radio controlled remote data acquisition system for measuring multichannel biosignals. Then we used the wavelet analysis for analyzing the details in the heart rate variability. Based on the previous results, we proposed a scatter graph between an autonomic nervous activity related index and a muscular fatigue related index. The scatter graph was effective as a tool for a snapshot evaluation of fatigue or degeneration of functional activities during long-term physical exercise