Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention.
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| Title: | Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention. |
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| Authors: | Im, Sunghoon1 (AUTHOR), Kim, Taewi1 (AUTHOR), Min, Choongki2 (AUTHOR), Kang, Sanghun1 (AUTHOR), Roh, Yeonwook1 (AUTHOR), Kim, Changhwan1 (AUTHOR), Kim, Minho1 (AUTHOR), Kim, Seung Hyun3 (AUTHOR), Shim, KyungMin4 (AUTHOR), Koh, Je-sung1 (AUTHOR), Han, Seungyong1 (AUTHOR), Lee, JaeWang5 (AUTHOR), Kim, Dohyeong6 (AUTHOR) dohyeong.kim@utdallas.edu, Kang, Daeshik1 (AUTHOR) dohyeong.kim@utdallas.edu, Seo, SungChul7 (AUTHOR) dohyeong.kim@utdallas.edu |
| Source: | PLoS ONE. 11/20/2023, Vol. 18 Issue 11, p1-18. 18p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 19326203 |
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| DOI: | 10.1371/journal.pone.0294447 |
