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

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

[img] Text
2019 FIZZA BMT.PDF

Download (533kB)

Abstract

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

Item Type: Article
Uncontrolled Keywords: Adventitious Soun, Airway Obstruction, Lung Function, Severity Level, Wheeze Analysis, Wheeze Detection, Wheeze Sound
Divisions: Faculty of Electronics and Computer Engineering > Department of Industrial Electronics
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 28 Oct 2020 14:13
Last Modified: 28 Oct 2020 14:13
URI: http://eprints.utem.edu.my/id/eprint/24365
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item