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
- 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.
- 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 - 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 - Proceedings of the 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 - 10.2991/icacsei.2013.21 ID - Zhang2013/08 ER -