Methods for evaluation of central hemodynamics and detection of indicators of risk of sudden cardiac death for network based clinical decision support system

Two methods for evaluation of crucial factors describing status of cardiologic patients based on advanced signal processing methods were incorporated into prototype network based clinical decision support system: (a) novel method for chest impedance signal analysis enabling reliable evaluation of central hemodynamics in non-invasive way; (b) method for automatic detection and evaluation of ECG T-wave alternans - predictor of sudden cardiac death. Both methods supplement each other and improve the quality of monitoring of patient status in intensive care unit.