Detection of Polyphonic Alarm Sounds From Medical Devices Using Frequency-Enhanced Deep Learning: Simulation Study.

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Title: Detection of Polyphonic Alarm Sounds From Medical Devices Using Frequency-Enhanced Deep Learning: Simulation Study.
Authors: Kishimoto K; Graduate School of Informatics, Kyoto University, 54 Kawara-cho, Shogoin, Sakyo-ku, Kyoto, 591-8022, Japan, 81 75-366-7701.; Graduate School of Medicine, Kyoto University, Kyoto, Japan.; Kyoto University Hospital, Kyoto, Japan., Takemura T; Graduate School of Information Science, University of Hyogo, Kobe, Japan., Sugiyama O; Department of Information Science, Kindai University, Osaka, Japan., Kojima R; Graduate School of Medicine, Kyoto University, Kyoto, Japan., Yakami M; Kyoto University Hospital, Kyoto, Japan., Yamamoto G; Kyoto University Hospital, Kyoto, Japan., Kuroda T; Graduate School of Informatics, Kyoto University, 54 Kawara-cho, Shogoin, Sakyo-ku, Kyoto, 591-8022, Japan, 81 75-366-7701.; Graduate School of Medicine, Kyoto University, Kyoto, Japan.; Kyoto University Hospital, Kyoto, Japan.
Source: JMIR medical informatics [JMIR Med Inform] 2025 Nov 12; Vol. 13, pp. e35987. Date of Electronic Publication: 2025 Nov 12.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2291-9694
DOI:10.2196/35987