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

PloS one, no. 1 (2020)

被引用0|浏览7
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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 arrhythmia analysis to build rules, or ...更多

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作者
Sajad Mousavi
Sajad Mousavi
Atiyeh Fotoohinasab
Atiyeh Fotoohinasab
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