Decision Support System for Real-Time Monitoring of Patients with Cardiovascular Risks

This paper presents decision support system for estimation of patient’s general state with particular stress laid on cardiovascular and pulmonary diseases. It works in conjunction with a standard medical monitor, which provides input signals such as temperature, blood pressure, pulseoxymetry, ECG, ICG, etc. The signals are preprocessed and analysed by a set of algorithms, the core of which is based on Bayesian networks. As an output the system should give information about detected problems, possible future threats, possible causes and suggestions for further treatment. From the hardware point of view the system is implemented in DaVinci DM3730 embedded microprocessor. Use of the presented system might be especially important in places such as Accident Emergency Departments and Admission Rooms, where small medical team has to take care of many patients in various general conditions.