Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks-Reference-Cited by-同舟云学术

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Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks

Published:2024-03 Issue: Volume:171 Page:108190
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Semmad Abdelkrim,Bahoura Mohammed^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Reference72 articles.

1. The highs and lows of wheezing: A review of the most popular adventitious lung sound;Pasterkamp;Pediatr. Pulmonol.,2018

2. Wheezing and asthma;Gong,1990

3. Automatic wheezing detection using speech recognition technique;Lin;J. Med. Biol. Eng.,2016

4. On applying continuous wavelet transform in wheeze analysis;Taplidou,2004

5. Computerized analysis of respiratory sounds during COPD exacerbations;Sánchez Morillo;Comput. Biol. Med.,2013

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