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Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review

Nabi, F. G. and Sundaraj, K. and Kiang, L. C. and Palaniappan, R. and Sundaraj, S. and Ahamed, Nizam Uddin (2017) Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review. In: 3rd International Conference on Movement, Health and Exercise: Engineering Olympic Success: From Theory to Practice. IFMBE Proceedings, 58 . Springer, Singapore, pp. 37-40. ISBN 978-981-10-3736-8

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Abstract

Wheezes are acoustic, adventitious, continues and high pitch pulmonary sounds produce due to airway obstruction, these sounds mostly exist in pneumonia and asthma patients. Artificial intelligence techniques have been extensively used for wheeze sound analysis to diagnose patient. The available literature has not yet been reviewed. In this article most recent and relevant 12 studies, from different databases related to artificial inelegance techniques for wheeze detection has been selected for detailed review. It has been noticed that now trend is going to increase in this area, for personal assistance and continues monitoring of patient health. The literature reveals that 1) wheezes signals have enough information for the classification of patients according to disease severity level and type of disease, 2) significant work is required for identification of severity level of airway obstruction and pathology differentiation.

Item Type: Book Section
Uncontrolled Keywords: Wheeze; Wheeze Sounds; Respiratory Sounds; Airway Obstruction; Wheeze Analysis
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 11 Apr 2017 03:07
Last Modified: 02 May 2018 02:52
URI: http://umpir.ump.edu.my/id/eprint/17458
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