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  Spectral envelope analysis of snoring signals

Çavuşoğlu, M., Kamaşak, M., Çiloğlu, T., Serinağaoğlu, Y., & Eroğul, O. (2008). Spectral envelope analysis of snoring signals. In A. Hierlemann (Ed.), Sixth IASTED International Conference on Biomedical Engineering (pp. 473-477). Anaheim, CA, USA: Acta Press.

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Genre: Conference Paper

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 Creators:
Çavuşoğlu, M1, 2, Author           
Kamaşak, M, Author
Çiloğlu, T, Author
Serinağaoğlu, Y, Author
Eroğul, O, Author
Affiliations:
1Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528700              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In recent years, several studies have shown the relationship between snoring and obstructive sleep apnea syndrome (OSAS). Besides time domain analysis of snoring signal, the spectral features and shapes of snores can be used to discriminate simple snorers and OSAS patients. In this study, we propose a method to classify simple snorers and OSAS patients based on spectral envelope estimation of snoring signals. The formant frequencies and corresponding bandwidths are computed for both group, and the variation and consistency of the formant distributions are computed. A total of 1400 snoring episodes from 7 simple snorer and 7 OSAS patients were analyzed. Significant differences are found in the formant frequencies of both groups. The results are discussed from the view point of patho-physiological aspect.

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 Dates: 2008-02
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
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Title: Sixth IASTED International Conference on Biomedical Engineering (BioMED 2008)
Place of Event: Innsbruck, Austria
Start-/End Date: 2008-02-13 - 2008-02-15

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Title: Sixth IASTED International Conference on Biomedical Engineering
Source Genre: Proceedings
 Creator(s):
Hierlemann, A, Editor
Affiliations:
-
Publ. Info: Anaheim, CA, USA : Acta Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 473 - 477 Identifier: ISBN: 978-088986-721-5