title: [Application of wavelet analysis in pick-up of breath signal from oscillations in chest wall].
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.
authors.affiliation: Department of Information Center of Health, Guangzhou Military Area Command, Guangzhou 510063, China. yangyatao@263.net
authors.forename: Yatao
authors.initials: Y
authors.lastname: Yang
authors.forename: Guohui
authors.initials: G
authors.lastname: Zhao
mesh_terms: D000465:Algorithms; D016477:Artifacts; D035641:Chest Wall Oscillation / Q000379:methods; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000379:methods; D012119:Respiration; D012135:Respiratory Sounds; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis