Research Progress on Detection Methods of Sleep Apnea
Sleep apnea hypopnea syndrome(SAHS)is a highly prevalent but poorly understood dysfunctional disorder that includes central sleep apnea syndrome and obstructive sleep apnea hypopnea syndrome.At present,more and more experts and scholars try to study the detection of SAHS from different angles,put forward a variety of sleep apnea detection algorithms,and expect algorithms to simplify the complexity of polysomnography(PSG)monitoring,and develop a variety of new SAHS monitoring devices to reduce the need for time-consuming traditional PSG monitoring.This paper reviewed SAHS detection methods and illustrated the advantages and limitations of different monitoring devices used in SAHS detection,analyzed the application status of software algorithms in the detection of sleep apnea,and put forward prospects for its future research and development.
sleep apneawearable deviceshome health monitoringsoftware algorithms
万方数据
维普
