Cover Image

Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review

Wheezes are high pitched continuous respiratory acoustic sounds which are produced as a result of airway obstruction. Computer-based analyses of wheeze signals have been extensively used for parametric analysis, spectral analysis, identification of airway obstruction, feature extraction and diseases...

Full description

Saved in:
Bibliographic Details
Main Authors: Nabi, Fizza Ghulam, Sundaraj, Kenneth, Lam, Chee Kiang, Palaniappan, Rajkumar, Sundaraj, Sebastian
Format: Article
Language:English
Published: De Gruyter 2017
Online Access:http://eprints.utem.edu.my/id/eprint/24365/2/2019%20FIZZA%20BMT.PDF
http://eprints.utem.edu.my/id/eprint/24365/
https://www.degruyter.com/view/journals/bmte/64/1/article-p1.xml
https://doi.org/10.1515/bmt-2016-0219
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.24365
record_format eprints
spelling my.utem.eprints.243652020-10-28T14:13:14Z http://eprints.utem.edu.my/id/eprint/24365/ Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review Nabi, Fizza Ghulam Sundaraj, Kenneth Lam, Chee Kiang Palaniappan, Rajkumar Sundaraj, Sebastian Wheezes are high pitched continuous respiratory acoustic sounds which are produced as a result of airway obstruction. Computer-based analyses of wheeze signals have been extensively used for parametric analysis, spectral analysis, identification of airway obstruction, feature extraction and diseases or pathology classification. While this area is currently an active field of research, the available literature has not yet been reviewed. This systematic review identified articles describing wheeze analyses using computer-based techniques on the SCOPUS, IEEE Xplore, ACM, PubMed and Springer and Elsevier electronic databases. After a set of selection criteria was applied, 41 articles were selected for detailed analysis. The findings reveal that 1) computerized wheeze analysis can be used for the identification of disease severity level or pathology, 2) further research is required to achieve acceptable rates of identification on the degree of airway obstruction with normal breathing, 3) analysis using combinations of features and on subgroups of the respiratory cycle has provided a pathway to classify various diseases or pathology that stem from airway obstruction De Gruyter 2017-10-31 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24365/2/2019%20FIZZA%20BMT.PDF Nabi, Fizza Ghulam and Sundaraj, Kenneth and Lam, Chee Kiang and Palaniappan, Rajkumar and Sundaraj, Sebastian (2017) Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review. Biomedical Engineering / Biomedizinische Technik (BMT), 64 (1). 1 - 28. ISSN 1862-278X https://www.degruyter.com/view/journals/bmte/64/1/article-p1.xml https://doi.org/10.1515/bmt-2016-0219
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Wheezes are high pitched continuous respiratory acoustic sounds which are produced as a result of airway obstruction. Computer-based analyses of wheeze signals have been extensively used for parametric analysis, spectral analysis, identification of airway obstruction, feature extraction and diseases or pathology classification. While this area is currently an active field of research, the available literature has not yet been reviewed. This systematic review identified articles describing wheeze analyses using computer-based techniques on the SCOPUS, IEEE Xplore, ACM, PubMed and Springer and Elsevier electronic databases. After a set of selection criteria was applied, 41 articles were selected for detailed analysis. The findings reveal that 1) computerized wheeze analysis can be used for the identification of disease severity level or pathology, 2) further research is required to achieve acceptable rates of identification on the degree of airway obstruction with normal breathing, 3) analysis using combinations of features and on subgroups of the respiratory cycle has provided a pathway to classify various diseases or pathology that stem from airway obstruction
format Article
author Nabi, Fizza Ghulam
Sundaraj, Kenneth
Lam, Chee Kiang
Palaniappan, Rajkumar
Sundaraj, Sebastian
spellingShingle Nabi, Fizza Ghulam
Sundaraj, Kenneth
Lam, Chee Kiang
Palaniappan, Rajkumar
Sundaraj, Sebastian
Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review
author_facet Nabi, Fizza Ghulam
Sundaraj, Kenneth
Lam, Chee Kiang
Palaniappan, Rajkumar
Sundaraj, Sebastian
author_sort Nabi, Fizza Ghulam
title Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review
title_short Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review
title_full Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review
title_fullStr Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review
title_full_unstemmed Wheeze Sound Analysis Using Computer-Based Techniques: A Systematic Review
title_sort wheeze sound analysis using computer-based techniques: a systematic review
publisher De Gruyter
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/24365/2/2019%20FIZZA%20BMT.PDF
http://eprints.utem.edu.my/id/eprint/24365/
https://www.degruyter.com/view/journals/bmte/64/1/article-p1.xml
https://doi.org/10.1515/bmt-2016-0219
_version_ 1683234176363397120
score 13.211869

Similar Items