Paper Title

Feature Extraction of Lung Sounds Using Daubechies Wavelet

Authors

  • Hupendra Devangan
  • Nitin Jain
  • Ajay Roy

Keywords

Auscultation, Adventitious Lung Sound, Wheeze, Crackles, Vesicular, Entropy, Energy, Variance, Standard Deviation, Daubechies Wavelet, Discrete Wavelet Transform.

Abstract

Diagnosis of lung sound using the stethoscope has the many limitation. It depends on the experience and skill of the medical practitioners. Lung sound classification has two parts, first is the feature extraction and second is the classifier used for the classification. Here a biomedical based system is proposed for the feature extraction of lung sound which is done using daubechies wavelet (db10). The features which have been extracted are energy, entropy, standard deviation and variance of the normal lung sound (e.g. vesicular.) and adventitious lung sounds (e.g. crackles and wheezes) and a comparative study has been given between the various features of lung sounds.

Article Type

Published

How To Cite

Hupendra Devangan, Nitin Jain, Ajay Roy. "Feature Extraction of Lung Sounds Using Daubechies Wavelet".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.1394-1400, URL :https://rjwave.org/ijedr/papers/IJEDR1502228.pdf

Issue

Volume 3 Issue 2 

Pages. 1394-1400

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