A newly developed risk stratification model using dispersive bioelectric models and high-resolution ECG demonstrated 94.7% accuracy in forecasting outcomes for patients with chronic heart failure.
The information technology has been developed for detecting unstable states of the cardiovascular system based on dispersive bioelectric models and 4th generation electrocardiography. New equipment and software for assessing predictors of life-threatening arrhythmias have been created and certified. The reserves of cardiac activity adaptation from elite athletes to patients with myocardial infarction have been studied. A risk stratification model has been developed for patients with chronic heart failure, the forecast correctness was 94.7 %.
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А. В. Фролов (2019) studied this question.
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