Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review
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 lite...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Language: | English English |
| Published: |
Springer
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/17458/1/book%20chapter2.pdf http://umpir.ump.edu.my/id/eprint/17458/7/5.%20Artificial%20Intelligence%20Techniques%20Used%20for%20Wheeze%20Sounds%20Analysis%20Review.pdf |
| _version_ | 1796992092566716416 |
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| author | Nabi, F. G. Sundaraj, K. Kiang, L. C. Palaniappan, R. Sundaraj, S. Ahamed, Nizam Uddin |
| author2 | Fatimah, Ibrahim |
| author_facet | Fatimah, Ibrahim Nabi, F. G. Sundaraj, K. Kiang, L. C. Palaniappan, R. Sundaraj, S. Ahamed, Nizam Uddin |
| author_sort | Nabi, F. G. |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:14:58Z |
| format | Book Chapter |
| id | UMPir17458 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:14:58Z |
| publishDate | 2017 |
| publisher | Springer |
| record_format | dspace |
| spelling | UMPir174582018-05-02T02:52:58Z http://umpir.ump.edu.my/id/eprint/17458/ Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review Nabi, F. G. Sundaraj, K. Kiang, L. C. Palaniappan, R. Sundaraj, S. Ahamed, Nizam Uddin TS Manufactures 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. Springer Fatimah, Ibrahim Jadeera, Phaik Geok Cheong Juliana , Usman Mohd Yazed, Ahmad Rizal, Razman Victor, S. Selvanayagam 2017 Book Chapter PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17458/1/book%20chapter2.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17458/7/5.%20Artificial%20Intelligence%20Techniques%20Used%20for%20Wheeze%20Sounds%20Analysis%20Review.pdf 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 http://dx.doi.org/0.1007/978-981-10-3737-5_8 doi: 10.1007/978-981-10-3737-5_8 |
| spellingShingle | TS Manufactures Nabi, F. G. Sundaraj, K. Kiang, L. C. Palaniappan, R. Sundaraj, S. Ahamed, Nizam Uddin Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review |
| title | Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review |
| title_full | Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review |
| title_fullStr | Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review |
| title_full_unstemmed | Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review |
| title_short | Artificial Intelligence Techniques Used for Wheeze Sounds Analysis: Review |
| title_sort | artificial intelligence techniques used for wheeze sounds analysis review |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/17458/1/book%20chapter2.pdf http://umpir.ump.edu.my/id/eprint/17458/7/5.%20Artificial%20Intelligence%20Techniques%20Used%20for%20Wheeze%20Sounds%20Analysis%20Review.pdf |
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