Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

The Time-Frequency Characters Analysis Of The Snoring Signal

Authors
Yin hong Zhang, Quan lu Li, Jing Wu, Jin Li
Corresponding Author
Yin hong Zhang
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.21How to use a DOI?
Keywords
Discrete wavelet transform, Nocturnal snoring, Time-frequency analysis, MATLAB.
Abstract
The snoring is a typical inspiratory sound appearing during sleep. It is an important characters of upper airway obstruction. The severe snoring sound leads to the Obstructive Sleep Apnea Syndrome during persistent ventilatory movements and it can result in cessation of breathing. This paper presents a time-frequency characters analysis method of non-stationary snoring signal that based on the discrete wavelet transform. The experimental result shows that the characters of different time-frequency domain of the snoring signal and offers value for analyzing the temporal feature of snoring sound in health medical treatment.
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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.21How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yin hong Zhang
AU  - Quan lu Li
AU  - Jing Wu
AU  - Jin Li
PY  - 2013/08
DA  - 2013/08
TI  - The Time-Frequency Characters Analysis Of The Snoring Signal
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 83
EP  - 86
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.21
DO  - https://doi.org/10.2991/icacsei.2013.21
ID  - Zhang2013/08
ER  -