Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter.
A new adaptive method for heart sounds reduction from lung sounds, based on wavelet transform, is presented in this paper. The use of a wavelet transform domain filtering technique as an adaptive de-noising tool, implemented in lung sounds analysis, is introduced. The multiresolution representations of the signal, produced by wavelet transform, are used for signal structure extraction. Experimental results have shown that implementation of this wavelet-based filter in lung sound analysis results in an efficient reduction of heart sounds from lung sounds, producing an almost noise-free output signal.
Hadjileontiadis
L J
LJ
Aristotle University of Thessaloniki, School of Technology, Dept. of Electrical & Computer Engineering, Greece. leontios@ccf.auth.gr
Panas
S M
SM
D000328:Adult; D000465:Algorithms; D016477:Artifacts; D005260:Female; D005374:Filtration; D006326:Heart Auscultation; D006801:Humans; D008297:Male; D008838:Microcomputers; D008875:Middle Aged; D012016:Reference Values; D012135:Respiratory Sounds; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted