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 |
| Summary: | 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. |
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