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

Volume

3

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

1273

Lastpage

1276

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6495-1

Type

conf

DOI

10.1109/BMEI.2010.5639265

Filename

5639265