Heart rate variability analysis method and device

Abstract

The application discloses a heart rate variability analysis method and device. The method comprises the steps: collecting electrocardiogram signals; analyzing the collected electrocardiogram signalsto obtain RR intervals of the electrocardiogram signals, drawing a three-dimensional electrocardiogram scatter diagram according to the RR intervals of the electrocardiogram signals, the RR intervalsbeing the R wave duration of two adjacent QRS waves on an electrocardiogram; dividing each clustering block mass in the three-dimensional electrocardiogram scatter diagram into clustering block masseswith different attributes, each clustering block mass being a point set formed by cardiac pacing points; and respectively determining heart rate variability indexes of the clustered masses with different attributes. According to the method and the device, when the HRV is analyzed by adopting the traditional electrocardiogram scatter diagram, two adjacent RR intervals are used for drawing on a plane, the situation of heart beat point set overlapping is likely to happen under the condition of arrhythmia diversification, and a researcher is difficult to conduct quantitative analysis of thoroughand effective heart rate variability on an electrocardiogram scatter diagram.

Description

technical field [0001] The present application relates to the fields of arrhythmia analysis and electrocardiographic signal processing, and specifically relates to a heart rate variability analysis method and device. Background technique [0002] Heart rate variability (HRV) refers to the difference in the length of the interval between heartbeats in sinus rhythm within a certain period of time. Quantitative HRV analysis is a method for assessing autonomic and cardiac status. Through the analysis and processing of the HRV signal, the state of the heart, sympathetic nerve, vagus nerve, etc. and their mutual checks and balances can be obtained. Many methods have been applied to HRV research in recent years, but the traditional time-domain and frequency-domain analysis methods are widely used at present. Since the human body is a complex nonlinear system and the heart is essentially a nonlinear dynamic system, nonlinear analysis methods are more helpful in revealing the natur...

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Problems solved by technology

However, the commonly used ECG scatter diagrams are drawn on a plane using two adjacent RR intervals. In the case of diverse arrhythmias, it is easy to overlap heart beat point sets, which makes it difficult for researchers to analyze ECG scatter points. Figure for thorough quantitative analysis of heart rate variability

In addition, the current heart rate variability analysis refers to the study of the change of the sinus rhythm interval, but no research work has been carried out on the ventricular, atrial and other heartbeats.

[0004] When using the traditional ECG scatter diagram to analyze HRV, two adjacent RR intervals are used to draw on the plane. In the case of diverse arrhythmias, it is easy to overlap heartbeat point sets, which makes it difficult for researchers to The problem of thorough and effective quantitative analysis of heart rate variability on ECG scattergrams has not yet been proposed an effective solution

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