A data mining approach to reduce the false alarm rate of patient monitors

Abstract

Patient monitors in intensive care units trigger alarms if the state of the patient deteriorates or if there is a technical problem, e.g. loose sensors. Monitoring systems have a high sensitivity in order to detect relevant changes in the patient state. However, multiple studies revealed a high rate of either false or clinically not relevant alarms. It was… (More)
DOI: 10.1109/EMBC.2012.6347345

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