DocumentCode :
406917
Title :
Spectral envelope analysis in snoring signals from simple snorers and patients with Obstructive Sleep Apnea
Author :
Sola-Soler, Jordi ; Jané, R. ; Fiz, J.A. ; Morera, J.
Author_Institution :
Centre de Recerca en Enginyeria Biomedica, Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
3
fYear :
2003
fDate :
17-21 Sept. 2003
Firstpage :
2527
Abstract :
Several studies have shown a relationship between snoring and obstructive sleep apnea syndrome (OSAS). Beyond conventional sound intensity analysis, some spectral differences have been found between snores from simple snores and post-apneic snores from OSAS patients. Snoring spectrum has two components, a fundamental frequency and a spectral envelope. Spectral density studies analyze them altogether. In this work we approach the estimation of the spectral envelope alone, which is closely related to the mechanism of snoring production. Linear prediction autoregressive (AR) modeling with a low order is used for spectral envelope estimation. Two methods are proposed for automatic order estimation. Formant frequencies of the spectral envelope are calculated. A total of 447 snores from 8 simple snorers, and 236 normal and 429 post-apneic snores from 8 OSAS patients are analyzed. Significant differences are found (p<0.005) in formant frequencies variability between simple snorers and OSAS patients, even when non postapneic snores are considered.
Keywords :
autoregressive processes; bioacoustics; diseases; medical signal processing; patient monitoring; physiological models; pneumodynamics; sleep; spectral analysis; Obstructive Sleep Apnea Syndrome; automatic order estimation; formant frequencies variability; linear prediction autoregressive modelling; postapneic snores; simple snorers; snoring production; snoring signals; snoring spectrum; spectral envelope analysis; spectral envelope estimation; Frequency domain analysis; Hospitals; Information filtering; Information filters; Predictive models; Production; Shape; Signal analysis; Sleep apnea; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7789-3
Type :
conf
DOI :
10.1109/IEMBS.2003.1280430
Filename :
1280430
Link To Document :
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