Snapshot evaluation of fatigue during skiing exercise

We have measured and analyzed the heart rate variability (HRV) and myoelectric (ME) signals during skiing exercise for a whole day. To realize snapshot evaluation of functional activities for this long-term exercise, we developed a radio controlled remote data acquisition system, and then evaluated data using spectrum analysis. We compared the spectrum of the HRV between skiing and ski lift riding, within the target frequency bands, using the wavelet analysis. During skiing, we estimated the amplitude and frequency indices as ME parameters. Then we applied the principal component analysis and the ARX model to represent the changes in functional activities. The results quantitatively showed the time-varying features of dominant frequency components in HRV and the relationship between cardiovascular and muscular activities with the progression of fatigue.