Abstract
To analyze respiratory waveforms, we developed a program, which detects various parameters of each respiratory waveform: the start, peak, and amplitude. Furthermore, the program analyzes not only regular respirations, but also disordered respirations, such as deep breathing and sighs. We introduce the program algorithm and propose a way to use it to classify various respiratory conditions (Stages 1-3). In addition, we report an example of applying this analysis method. We analyze various respiratory waveforms from experiments with 30 subjects who experienced three levels of motion sickness: none, slight, and severe. The results showed that it is possible to roughly classify degrees of motion sickness on the basis of various respiratory conditions.
