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 tra...

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Bibliographic Details
Published in:Computers in biology and medicine 1996, Vol.26 (1), p.25-39
Main Authors: Sankur, Bülent, Güler, E.Çaǧatay, Kahya, Yasemin P.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Biological and medical sciences
Biological transients
Bronchi - physiopathology
Child
Discrete wavelet transform Wavelet filters
Female
Fourier Analysis
Humans
Investigative techniques of respiratory function
Investigative techniques, diagnostic techniques (general aspects)
Lung Diseases, Obstructive - diagnosis
Lung Diseases, Obstructive - physiopathology
Male
Medical sciences
Middle Aged
Monitoring, Physiologic - instrumentation
Multiresolution decomposition
Predictive Value of Tests
Pulmonary Ventilation - physiology
Respiratory crackles
Respiratory Sounds - physiopathology
Signal Processing, Computer-Assisted
Time-frequency representations
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Summary: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.
ISSN:0010-4825
1879-0534
DOI:10.1016/0010-4825(95)00025-9