Methods for monitoring and prognosis of clinical status of patients in acute phase of myocardial infarction for computer network based clinical decision support system

The methods for evaluation of crucial factors describing status of cardiologic patients in intensive care units based on advanced signal processing methods were incorporated into prototype network based clinical decision support system. The methods realize: (a) evaluation of heart rate variability in aim to predict clinical outcome; (b) evaluation of central hemodynamics in non-invasive way by means of chest impedance signal analysis; (c) automatic detection and evaluation of ECG T-wave alternans – predictor of sudden cardiac death. Modern standard monitoring equipment has connection to the computer network and possibility to transfer registered signals and clinical data what could be processed and evaluated with such clinical decision system. The remotely accessed methods of the system can significantly improve the quality of monitoring of patient status using standard equipment.