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Artificial intelligence techniques used in respiratory sound analysis – a systematic review

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Main Authors: Palaniappan, Rajkumar, Sundaraj, Kenneth, Prof. Dr., Sundaraj, Sebastian
Other Authors: prkmect@gmail.com
Format: Article
Language:English
Published: Walter de Gruyter 2014
Subjects:
Artificial intelligence
Lung disease
Respiratory sounds
Statistical computing
Systematic review
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33227
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id my.unimap-33227
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spelling my.unimap-332272014-03-31T05:00:04Z Artificial intelligence techniques used in respiratory sound analysis – a systematic review Palaniappan, Rajkumar Sundaraj, Kenneth, Prof. Dr. Sundaraj, Sebastian prkmect@gmail.com kenneth@unimap.edu.my Artificial intelligence Lung disease Respiratory sounds Statistical computing Systematic review Link to publisher's homepage at http://www.degruyter.com/ Artificial intelligence (AI) has recently been established as an alternative method to many conventional methods. The implementation of AI techniques for respiratory sound analysis can assist medical professionals in the diagnosis of lung pathologies. This article highlights the importance of AI techniques in the implementation of computer-based respiratory sound analysis. Articles on computer-based respiratory sound analysis using AI techniques were identified by searches conducted on various electronic resources, such as the IEEE, Springer, Elsevier, PubMed, and ACM digital library databases. Brief descriptions of the types of respiratory sounds and their respective characteristics are provided. We then analyzed each of the previous studies to determine the specific respiratory sounds/pathology analyzed, the number of subjects, the signal processing method used, the AI techniques used, and the performance of the AI technique used in the analysis of respiratory sounds. A detailed description of each of these studies is provided. In conclusion, this article provides recommendations for further advancements in respiratory sound analysis. 2014-03-31T05:00:04Z 2014-03-31T05:00:04Z 2013 Article Biomedizinische Technik/Biomedical Engineering, vol. 59(1), 2013, pages 7-18 0013-5585 (Print) 1862-278X (Online) http://dspace.unimap.edu.my:80/dspace/handle/123456789/33227 http://www.degruyter.com/view/j/bmte.2014.59.issue-1/bmt-2013-0074/bmt-2013-0074.xml http://dx.doi.org/10.1515/bmt-2013-0074 en Walter de Gruyter
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 Artificial intelligence
Lung disease
Respiratory sounds
Statistical computing
Systematic review
spellingShingle Artificial intelligence
Lung disease
Respiratory sounds
Statistical computing
Systematic review
Palaniappan, Rajkumar
Sundaraj, Kenneth, Prof. Dr.
Sundaraj, Sebastian
Artificial intelligence techniques used in respiratory sound analysis – a systematic review
description Link to publisher's homepage at http://www.degruyter.com/
author2 prkmect@gmail.com
author_facet prkmect@gmail.com
Palaniappan, Rajkumar
Sundaraj, Kenneth, Prof. Dr.
Sundaraj, Sebastian
format Article
author Palaniappan, Rajkumar
Sundaraj, Kenneth, Prof. Dr.
Sundaraj, Sebastian
author_sort Palaniappan, Rajkumar
title Artificial intelligence techniques used in respiratory sound analysis – a systematic review
title_short Artificial intelligence techniques used in respiratory sound analysis – a systematic review
title_full Artificial intelligence techniques used in respiratory sound analysis – a systematic review
title_fullStr Artificial intelligence techniques used in respiratory sound analysis – a systematic review
title_full_unstemmed Artificial intelligence techniques used in respiratory sound analysis – a systematic review
title_sort artificial intelligence techniques used in respiratory sound analysis – a systematic review
publisher Walter de Gruyter
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33227
_version_ 1643797106664669184
score 13.160551

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