Application of wavelet analysis in pick-up of breath signal from oscillations in chest wall.
- Author:
Yatao YANG
1
;
Guohui ZHAO
Author Information
1. Department of Information Center of Health, Guangzhou Military Area Command, Guangzhou 510063, China. yangyatao@263.net
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Chest Wall Oscillation;
methods;
Humans;
Monitoring, Physiologic;
instrumentation;
methods;
Respiration;
Respiratory Sounds;
Signal Processing, Computer-Assisted;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2012;29(1):65-69
- CountryChina
- Language:Chinese
-
Abstract:
In order to pick up breath signal from correlated noise background of the pulse of heart and artery etc, an algorithm based on wavelet de-noising has been introduced. With wavelet db4, the raw signal was decomposed into the scale space of six layers; threshold treatment was done with the self-adaptive threshold created by Stein's Unbiased Risk Estimate; then the wavelet coefficients were reconstructed. The result showed that the noise was significantly depressed.
