This paper is in the following e-collection/theme issue:

Machine Learning (2048) Clinical Information and Decision Making (1890) Alarm Fatigue (25) Falls and Emergency Detection with Sensors and other Technologies (56)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35987, first published .
Detection of Polyphonic Alarm Sounds From Medical Devices Using Frequency-Enhanced Deep Learning: Simulation Study

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

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

Authors of this article:

Kazumasa Kishimoto1, 2, 3 Author Orcid Image ;   Tadamasa Takemura4 Author Orcid Image ;   Osamu Sugiyama5 Author Orcid Image ;   Ryosuke Kojima2 Author Orcid Image ;   Masahiro Yakami3 Author Orcid Image ;   Goshiro Yamamoto3 Author Orcid Image ;   Tomohiro Kuroda1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Kazumasa Kishimoto   1, 2, 3 , PhD ;   Tadamasa Takemura   4 , PhD ;   Osamu Sugiyama   5 , PhD ;   Ryosuke Kojima   2 , PhD ;   Masahiro Yakami   3 , PhD ;   Goshiro Yamamoto   3 , PhD ;   Tomohiro Kuroda   1, 2, 3 , PhD

1 Graduate School of Informatics, Kyoto University, Kyoto, Japan

2 Graduate School of Medicine, Kyoto University, Kyoto, Japan

3 Kyoto University Hospital, Kyoto, Japan

4 Graduate School of Information Science, University of Hyogo, Kobe, Japan

5 Department of Information Science, Kindai University, Osaka, Japan

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