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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /


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Volume 64, Issue 1

Issues

Volume 57 (2012)

Wheeze sound analysis using computer-based techniques: a systematic review

Fizza Ghulam Nabi
  • Corresponding author
  • School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia, Phone: +601111519452
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/ Kenneth Sundaraj
  • Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia
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/ Lam Chee Kiang
  • School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia
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/ Rajkumar Palaniappan
  • School of Electronics Engineering, Vellore Institute of Technology (VIT), Tamil Nadu 632014, India
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/ Sebastian Sundaraj
  • Department of Anesthesiology, Hospital Tengku Ampuan Rahimah (HTAR), 41200 Klang, Selangor, Malaysia
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Published Online: 2017-10-31 | DOI: https://doi.org/10.1515/bmt-2016-0219

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.

Keywords: adventitious sound; airway obstruction; lung function; severity level; wheeze analysis; wheeze detection

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About the article

Received: 2016-11-14

Accepted: 2017-08-24

Published Online: 2017-10-31

Published in Print: 2019-02-25


Citation Information: Biomedical Engineering / Biomedizinische Technik, Volume 64, Issue 1, Pages 1–28, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/bmt-2016-0219.

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