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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953791/ https://www.ncbi.nlm.nih.gov/pubmed/31923226 http://dx.doi.org/10.1371/journal.pone.0226990 |