Multiresolution biological transient extraction applied to respiratory crackles.
A method is proposed for the detection of transients in biological signals. The method is based on enhancing the transient-to-background ratio by a series of operations such as background whitening, wavelet-based multiresolution decomposition and application of Teager's energy operator. The transients are extracted by judiciously thresholding this processed signal. The proposed detector is applied to the discrimination of crackles in pathological respiratory sounds. It is shown that both the crackle detection performance and ability to extract the transient waveforms correctly are superior to existing detectors in the literature.
Sankur
B
B
Dept. Elec. Eng., Boğaziçi University, Bebek, Istanbul, Turkey.
Cağatay Güler
E
E
Kahya
Y P
YP
D000293:Adolescent; D000328:Adult; D000368:Aged; D001980:Bronchi / Q000503:physiopathology; D002648:Child; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D008173:Lung Diseases, Obstructive / Q000175:diagnosis* / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D011237:Predictive Value of Tests; D012123:Pulmonary Ventilation / Q000502:physiology; D012135:Respiratory Sounds / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted