Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

All Night Analysis of Snoring Signals by Formant Features

Authors
Kun Qian, Yuzhuo Fang, Zhiyong Xu, Huijie Xu
Corresponding Author
Kun Qian
Available Online March 2013.
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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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.247How to use a DOI?
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/).

Cite this article

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  -