Identification Of Asthma Severity Levels Through Wheeze Sound Characterization And Classification Using Integrated Power Features
This study aimed to investigate and classify wheeze sound characteristics according to asthma severity levels (mild, moderate and severe) using integrated power (IP) features. Method: Validated and segmented wheeze sounds were obtained from the lower lung base (LLB) and trachea recordings of 55 asth...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier Ltd.
2019
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| オンライン･アクセス: | http://eprints.utem.edu.my/id/eprint/24363/2/2019%20FIZZA%20BSPC.PDF http://eprints.utem.edu.my/id/eprint/24363/ https://www.sciencedirect.com/science/article/pii/S1746809419301156 https://doi.org/10.1016/j.bspc.2019.04.018 |
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