Introduction: Prognostics and Health Management (PHM) is a new IT trend whose purpose is the development of methods, algorithms and computing clusters to identify hidden early predictors of cardiovascular risks. Cloud computing cluster supports ECG ultra-portable recorder.
Methods: Using the above-mentioned technology and PHM predictive methods of development of predictors of ventricular tachycardia were studied methods for optimizing drug treatment of arrhythmias in the persistent phase. ECG monitoring was carried out episodically or permanently depending on the ECG dynamics. The minimum time of ECG recording was in different cases from 5 minutes to 10 hours daily. ECG recording length was determined automatically by cloud cluster algorithms.
Results: Monitoring was held to ten patients with persistent atrial fibrillation. Change of antiarrhythmic drugs was controlled cloud cluster. Early criteria of drug ineffectiveness were established. It also specified criteria of efficiency on the basis of modeling the evolution of latent predictors. In some cases, the PHM systems prevent development of life threatening arrhythmias.
Conclusions: Thus ECG analysis on base PHM cloud cluster is new possibilities for heart failure management and drug control efficient.