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Machine learning in lung sound analysis: a systematic review

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Bibliographic Details
Main Authors: Palaniappan, Rajkumar, Sundaraj, Kenneth, Prof. Dr., Nizam Uddin, Ahamed
Other Authors: prkmect@gmail.com
Format: Article
Language:English
Published: Elsevier Ltd. 2014
Subjects:
Review
Lung sound
Lung disorder
Statistical
Machine learning
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33382
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spelling my.unimap-333822014-04-03T06:31:58Z Machine learning in lung sound analysis: a systematic review Palaniappan, Rajkumar Sundaraj, Kenneth, Prof. Dr. Nizam Uddin, Ahamed prkmect@gmail.com kenneth@unimap.edu.my ahamed1557@hotmail.com Review Lung sound Lung disorder Statistical Machine learning Link to publisher's homepage at http://www.sciencedirect.com/ Machine learning has proven to be an effective technique in recent years and machine learning algorithms have been successfully used in a large number of applications. The development of computerized lung sound analysis has attracted many researchers in recent years, which has led to the implementation of machine learning algorithms for the diagnosis of lung sound. This paper highlights the importance of machine learning in computer-based lung sound analysis. Articles on computer-based lung sound analysis using machine learning techniques were identified through searches of electronic resources, such as the IEEE, Springer, Elsevier, PubMed and ACM digital library databases. A brief description of the types of lung sounds and their characteristics is provided. In this review, we examined specific lung sounds/disorders, the number of subjects, the signal processing and classification methods and the outcome of the analyses of lung sounds using machine learning methods that have been performed by previous researchers. A brief description on the previous works is thus included. In conclusion, the review provides recommendations for further improvements. 2014-04-03T06:31:58Z 2014-04-03T06:31:58Z 2013 Article Biocybernetics and Biomedical Engineering, vol. 33(3), 2013, pages 129-135 0208-5216 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33382 http://www.sciencedirect.com/science/article/pii/S0208521613000168 http://dx.doi.org/10.1016/j.bbe.2013.07.001 en Elsevier Ltd.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Review
Lung sound
Lung disorder
Statistical
Machine learning
spellingShingle Review
Lung sound
Lung disorder
Statistical
Machine learning
Palaniappan, Rajkumar
Sundaraj, Kenneth, Prof. Dr.
Nizam Uddin, Ahamed
Machine learning in lung sound analysis: a systematic review
description Link to publisher's homepage at http://www.sciencedirect.com/
author2 prkmect@gmail.com
author_facet prkmect@gmail.com
Palaniappan, Rajkumar
Sundaraj, Kenneth, Prof. Dr.
Nizam Uddin, Ahamed
format Article
author Palaniappan, Rajkumar
Sundaraj, Kenneth, Prof. Dr.
Nizam Uddin, Ahamed
author_sort Palaniappan, Rajkumar
title Machine learning in lung sound analysis: a systematic review
title_short Machine learning in lung sound analysis: a systematic review
title_full Machine learning in lung sound analysis: a systematic review
title_fullStr Machine learning in lung sound analysis: a systematic review
title_full_unstemmed Machine learning in lung sound analysis: a systematic review
title_sort machine learning in lung sound analysis: a systematic review
publisher Elsevier Ltd.
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33382
_version_ 1643797157984075776
score 13.160551

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