Utilizing photophlethysmography signal features and implementing a decision tree to determine sleep cycles-non sleep cycles

摘要

Due to the intolerable diagnosis procedures of Obstructive sleep apnea syndrome, there are studies conducted for a more tolerable procedure that would comfort the patients. In our study, we used photoplethysmography signal, which is a signal that is easily detected from the patient's body to determine whether the patient is in a sleep stage or a non-sleep stage. We demonstrated the patient's sleep stage and non- sleep stage with a decision tree application. The resulting high success rates proved that photoplethysmography signals can be clinically used for sleep staging and decision tree applications are a reliable tool to detect sleep stages.