Title :
Detection of OSAHS using only time-domain property of snoring signal
Author :
Hou, Limin ; Xie, Su ; Kai, Shankai ; Song, Wei
Author_Institution :
Sch. of Telecommun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
Polysomnography (PSG) is the standard method for obstructive sleep apnea hypopnea syndrome (OSAHS) diagnosis in medical, but the shortcomings in it have pushed many researchers to find a more convenient and effective way to detect OSAHS. With this purpose, a new technique for OSAHS assessment is proposed in this paper. It combined the properties of respiratory events with an ingenious dynamic threshold endpoint detection method to realize the automatic detection of respiratory events, and then obtained the apnea hypopnea index (AHI) to determine the patient´s condition. The method was evaluated on the whole night snoring signal of 34 patients. Compared the results with those monitored by PSG, it has shown that the accuracy of this method can reach above 90%, at the same time, it has the advantages in low cost, high speed, easy to operate and so on.
Keywords :
medical signal detection; patient diagnosis; OSAHS detection; apnea hypopnea index; ingenious dynamic threshold endpoint detection method; obstructive sleep apnea hypopnea syndrome diagnosis; patient night snoring signal; polysomnography; respiratory event automatic detection; respiratory events; standard method; time-domain property; Accuracy; Indexes; Medical diagnostic imaging; Monitoring; Noise measurement; Sleep apnea; Time domain analysis; Apnea Hyponea Index; Dynamic Threshold Endpoint Detection; Obstructive Sleep Apnea Hypopnea Syndrome; Snore;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002183