出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Sleep apnea is considered one of the most critical problems of human health, and it is also
considered one of the most important bio-signals in the area of medicine. In this paper, we
propose the approach to detection and classification of respiratory status based on cross
correlation between normal respiration and apnea, and on the characteristics of respiratory
signals. The characteristics of the signals are extracted by analyzing frequency analysis. The
proposed method is simple and straightforward so that it can be workable in practice. To
substantiate the proposed algorithm, the experimental results are provided.
