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Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks

This study proposes a deep learning model that effectively suppresses the false alarms in the intensive care units (ICUs) without ignoring the true alarms using single- and multi- modal biosignals. Most of the current work in the literature are either rule-based methods, requiring prior knowledge of...

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Publicat a:PLoS One
Autors principals: Mousavi, Sajad, Fotoohinasab, Atiyeh, Afghah, Fatemeh
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2020
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6953791/
https://ncbi.nlm.nih.gov/pubmed/31923226
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0226990
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