All Night Analysis of Snoring Signals by Formant Features

DOI

10.2991/iccsee.2013.247How to use a DOI?

Keywords

Obstructive Sleep Apnea-Hypopnea Symdrome (OSAHS), snoring signals (SS), formant features, all night analysis, clustering

Abstract

This paper presents our preliminary research on all night analysis of formant features extracted from snoring signals (SS), which can be used to find changes of anatomical structure in the upper airway (UA) for patients suffering from Obstructive Sleep Apnea-Hypopnea Symdrome (OSAHS). All night analysis of formant features has a significance to reveal the relationship between physiological or anatomical mechanism and SS. It could be potentially helpful for doctors to conduct an accurate and efficient surgical plan.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kun Qian
AU  - Yuzhuo Fang
AU  - Zhiyong Xu
AU  - Huijie Xu
PY  - 2013/03
DA  - 2013/03
TI  - All Night Analysis of Snoring Signals by Formant Features
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 984
EP  - 986
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.247
DO  - 10.2991/iccsee.2013.247
ID  - Qian2013/03
ER  -