Breath sound analysis of sleep apnea syndrome using cluster model

Abstract

Sleep apnea syndrome (SAS) is a contemporary disease, with few subjective symptoms. For this reason, many people with SAS have not received a medical examination. In this paper, the possibility of a person with a high probability of having SAS in the near future (Pre-SAS) is determined from only the sound of the subject’s breathing during sleep. The sound is extracted and the breathing pattern and its tendency analysed using the cluster method. Compared to the conventional SAS process for diagnosis in medical institutions, the method proposed in this paper is very simple and easy.