Signal quality and data fusion for false alarm reduction in the intensive care unit

Signal quality and data fusion for false alarm reduction in the intensive care unit

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Due to a lack of integration between different sensors, false alarms (FA) in the intensive care unit (ICU) are frequent and can lead to reduced standard of care. We present a novel framework for FA reduction using a machine learning approach to combine up to 114 signal quality and physiological feat...

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Autors principals:	Li, Q, Clifford, G
Format:	Journal article
Idioma:	English
Publicat:	2012

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