The invention discloses an electrocardiogram data pathological feature quantitative analysis method and device, relates to a method and device for quantitative extraction of dynamic multiple pathological features of a cardiac electrical activity system and an abnormal analysis method and device for cardiac electrical signals, and belongs to the field of cardiac disease data feature mining. The electrocardiogram data pathological feature quantitative analysis method and device are used for solving the problem of mining more and richer dynamic pathological features in electrical activities of acardiac nonlinear system. The key point of the electrocardiogram data pathological feature quantitative analysis method and device is that the step of extracting quantification index of inherent cardiac dynamic pathological characteristics of dynamic data of a cardiac electrical activity nonlinear system by the method of heterogeneity analysis is achieved, wherein the heterogeneity analysis refersto non-uniformity and complexity analysis of the dynamic data of the cardiac electrical activity nonlinear system in the process of spatial distribution and time deduction. The effect of the electrocardiogram data pathological feature quantitative analysis method and device is that the obtained information can present the dynamic pathological features which are difficult to measure by traditionalmethods of the cardiac electrical activity nonlinear system.
Electrocardiogram data pathological feature quantitative analysis method and device