Signal quality and data fusion for false alarm reduction in the intensive care unit.
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...
| Auteurs principaux: | , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
2012
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