Article

Article title WAY OF THE STATISTICAL ANALYSIS OF ELECTROCARDIOGRAPHIC INFORMATION
Authors V.G. Polosin
Section SECTION II. MEDICAL DIAGNOSTICS AND THERAPY
Month, Year 10, 2014 @en
Index UDC 616. 172. 4, 53.082.7
DOI
Abstract The possibility of increasing the efficiency of the automatic electrocardiographic information analysis, based on the using modern statistical methods of the information analysis containing in the selection results of measurements is considered. In particular, the interrelationship of kinetics changes ECG results and the distribution shape of the sample random variables obtained in one period of heart contraction is shown. The method of the analyzing cardiographic information, based on an evaluation of the central moments of a high order for the statistical distribution of results obtained during the one period of the heartbeat is offered. The behavior peculiarities of the distributions shape constructed on time intervals (slots) electrocardiosignal are considered. The results of an estimation of the distributions shape allow supporting acceptance of the well-founded decision in the case of establishment diagnosis of disease. The way of a validity estimation of the central moments the high order for the statistical distribution based on the calculation of quality compliance estimations assorted sample of an electrocardiogram results and approximating decomposition on degrees is developed The technique of decomposition of variable monotonic function in an ascending power series based on the coefficients of getting through central moments of n-th order calculated on a random sample of data is developed. Examples of assorted series approximation for a typical electric cardiosignal and for known symmetric and asymmetric distributions are given.

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Keywords Electric cardiosignal; the central moments of n-th order; the assorted series; the statistical distribution.
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