Title :
The researches of wavelet transform for the sleep apnea syndrome through snoring analysis
Author :
Zhang, Yinhong ; Li, Quanlu
Author_Institution :
Coll. of Phys. & Inf. Technol., Shaanxi Normal Univ., Xi´´an, China
Abstract :
The snoring is a typical inspiratory sound appearing during sleep. It is a typical non-stationary signal and its source can be considered as pseudoperiodic. It is discuss the analyzing methods of snores signal that based on wavelet transform in this paper. The aim of the current study is to explore any possible relationship between snoring analysis using wavelet transform and apnea syndrome. Simulation results show that the method for analyzing frequencies of snore signal is effective for medical treatment diagnose. It may offering value for the sleep apnea syndrome diagnose.
Keywords :
biomedical measurement; medical disorders; medical signal processing; patient diagnosis; sleep; wavelet transforms; inspiratory sound; medical treatment diagnose; pseudoperiodic source; sleep apnea syndrome; snoring analysis; snoring signal processing; wavelet transform; Resonant frequency; Sleep apnea; Time frequency analysis; Wavelet analysis; Wavelet transforms; Continuous wavelet transform; Sleep apnea syndrome; nocturnal snoring; signal analysis;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639265
