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Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning.
Kim, Yoonjoo; Hyon, YunKyong; Jung, Sung Soo; Lee, Sunju; Yoo, Geon; Chung, Chaeuk; Ha, Taeyoung.
Affiliation
  • Kim Y; Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Hyon Y; Division of Medical Mathematics, National Institute for Mathematical Sciences, Daejeon, 34047, Republic of Korea.
  • Jung SS; Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Lee S; Division of Medical Mathematics, National Institute for Mathematical Sciences, Daejeon, 34047, Republic of Korea.
  • Yoo G; Clinical Research Division, National Institute of Food and Drug Safety Evaluation, Cheongju-si, Chungcheongbuk-do, Republic of Korea.
  • Chung C; Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, 34134, Republic of Korea. universe7903@gmail.com.
  • Ha T; Infection Control Convergence Research Center, Chungnam National University School of Medicine, Daejeon, 35015, Republic of Korea. universe7903@gmail.com.
Sci Rep ; 11(1): 17186, 2021 08 25.
Article in En | MEDLINE | ID: mdl-34433880
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Tract Diseases / Auscultation / Respiratory Sounds / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Tract Diseases / Auscultation / Respiratory Sounds / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2021 Document type: Article