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

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5 Author(s)
Krisciukaitis, A. ; Kaunas Univ. of Med., Kaunas, Lithuania ; Simoliuniene, R. ; Macas, A. ; Baksyte, G.
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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.

Published in:

Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on

Date of Conference:

4-7 Nov. 2009