Print Email Facebook Twitter An Algorithm for Automatic Acoustic Alarm Recognition in the Neonatal Intensive Care Unit Title An Algorithm for Automatic Acoustic Alarm Recognition in the Neonatal Intensive Care Unit Author Spagnol, S. (University IUAV of Venice) Goos, T.G. (Erasmus MC) Reiss, Irwin (Erasmus MC) Ozcan Vieira, E. (TU Delft Design Aesthetics) Date 2022 Abstract Inside the Neonatal Intensive Care Unit (NICU), exposure to loud sounds such as acoustic medical alarms can have adverse effects on neonates, parents, and medical staff. With the aim of having an accurate overview of which and how often acoustic medical alarms occur, this paper presents a simple signal processing-based approach for detecting and recognizing automatically and permanently patient monitoring alarms inside the NICU. The proposed algorithm leverages from prior knowledge of the spectro-temporal structures of alarms to first detect each single occurrence of an alarm tone, and then group the detected tones into a known alarm pattern. A preliminary evaluation of the algorithm on a small set of 4-channel recordings capturing a simulated NICU soundscape shows that around 99% of the acoustic alarms are correctly recognized, and that around 99% of the recognized alarms are true alarms. The algorithm lends itself to efficient real-time implementation and to generalization to other alarm patterns as defined by the IEC 60601-1-8 standard. Subject acoustic alarmalarm detectionalarm recognitionneonatal intensive care unit To reference this document use: http://resolver.tudelft.nl/uuid:72e1887f-a55d-47f6-a875-d38d135aaca5 DOI https://doi.org/10.1109/ICFSP55781.2022.9924684 Publisher Institute of Electrical and Electronics Engineers (IEEE) Embargo date 2023-07-01 ISBN 978-1-6654-8158-8 Source 2022 7th International Conference on Frontiers of Signal Processing, ICFSP 2022 Event 7th International Conference on Frontiers of Signal Processing, ICFSP 2022, 2022-09-07 → 2022-09-09, Paris, France Series 2022 7th International Conference on Frontiers of Signal Processing, ICFSP 2022 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2022 S. Spagnol, T.G. Goos, Irwin Reiss, E. Ozcan Vieira Files PDF An_Algorithm_for_Automati ... e_Unit.pdf 2.07 MB Close viewer /islandora/object/uuid:72e1887f-a55d-47f6-a875-d38d135aaca5/datastream/OBJ/view