Discrimination of respiratory sounds based on a new adaptive function

In this paper, we address the problem of discriminating normal breath and adventitious, continuous (e.g. wheeze) sounds based on a new adaptive function. The proposed function is based on fast Gabor time-frequency distribution and autoregressive (AR) averaging. Using a time-frequency (TF) representa...

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Bibliographic Details
Main Authors: Jin, F., Sattar, F., Razul, S.G., Goh, D.Y.T.
Format: Conference Proceeding
Language:English
Subjects:
Acoustical engineering
Feature extraction
Hospitals
Pediatrics
Signal generators
Signal processing
Sleep
Spectrogram
Time domain analysis
Time frequency analysis
Online Access:Request full text
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Summary:In this paper, we address the problem of discriminating normal breath and adventitious, continuous (e.g. wheeze) sounds based on a new adaptive function. The proposed function is based on fast Gabor time-frequency distribution and autoregressive (AR) averaging. Using a time-frequency (TF) representation of the input signal together with a gain procedure based on AR averaging provides an effective tool to differentiate normal/adventitious respiratory sounds. Various features/measures, using tracheal respiratory sounds, are presented to demonstrate the efficiency of the proposed approach. The presented method is characterized by its simplicity and ease of implementation.
DOI:10.1109/ICICS.2007.4449670