ABSTRACT Medical staff in the Intensive Care Unit (ICU) need to interpret the high volumes of noisy data generated from the monitors attached to their patients. In this paper we propose a software architecture which processes the ICU monitor data to remove clinically insignificant events and to provide enhanced clinical decision support to ICU staff in order to improve the quality of patient care by giving accurate summaries. Our architecture has been tested on three datasets from an adult ICU and six datasets from a neonatal ICU and the results are very encouraging.
Vol4_No1_1
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