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Spectral envelope analysis of snoring signals

MPG-Autoren
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Çavuşoğlu,  M
Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

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.


Zitierlink: https://hdl.handle.net/21.11116/0000-0003-8006-5
Zusammenfassung
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.