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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 found that the high rate of false alarms...
This paper describes an adaptive fuzzy control algorithm that may be used for the automation of medical devices. The automation system consists of a set of controllers containing the expertise of the physician and a main fuzzy controller that creates new rules based on this knowledge plus additional information about the patient. An adaptive mechanism evaluates the performance of the controller by...
Bedside monitors trigger alarms if the state of a patient needs attention. However, many studies have shown that there is a high rate of false or clinically irrelevant alarms. Despite technological and methodological advances false alarms persist in today's monitoring systems. There is still a lack of annotated, standardized and publicly available alarm databases that would foster promising results...
Hydraulic models of the human circulatory system allow simulation of hemodynamics in a standardized setting. In this work we use such a model to compare concurrent control strategies for extra-corporal circulation control. Patients suffering from cardio-vascular diseases under extra-corporal circulation can benefit from an automated regulation. The control task is to keep either the pump flow or the...
Extra-corporal Circulation Support Systems (ECCS) are used in cardiac surgery on a daily basis. Surgeons and perfusionists supervise patients' vital signals such as heart rate or blood pressure and ensure secure and errorless operation of the system. An automated ECCS can help to reduce the workload of human operators and can provide a patient with optimal perfusion. In our opinion a fuzzy controller...
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