Method and device for assessing irregularity degree at RR intervals of electrocardiogram waveform

Abstract

The invention relates to a method for assessing the irregularity degree at RR intervals of an electrocardiogram waveform. The method comprises the following steps that a first electrocardiogram waveform is obtained; the RR interval sequence in the first electrocardiogram waveform is obtained; resampling is carried out on the RR interval sequence of the first electrocardiogram waveform, a set number of RR interval differences are obtained, and normalization processing is carried out on the obtained interval differences; the probability distribution density is obtained according to the normalized interval differences, and the irregularity degree at the RR intervals of the electrocardiogram waveform is obtained according to the obtained probability distribution density. The invention further relates to a device for achieving the method. The method and device for assessing the irregularity degree at the RR intervals of the electrocardiogram waveform have the advantages that the obtained irregularity degree at the RR intervals can be accurate and is closer to the real circumstances.

Description

technical field [0001] The invention relates to the field of medical equipment, more specifically, to a method and device for evaluating the irregularity of the RR interval of the electrocardiogram waveform. Background technique [0002] Atrial fibrillation, abbreviated as atrial fibrillation, is one of the most common cardiac arrhythmias in clinical practice. Atrial fibrillation is generally not directly life-threatening, but when atrial fibrillation occurs, factors such as the loss of cardiac synchronous mechanical activity, irregular ventricular response, and rapid heart rate will seriously affect the normal function of hemodynamics, which will lead to various cardiac diseases with high risk of death. Vascular diseases, such as stroke, coronary artery disease, heart failure, etc. Therefore, the early detection and auxiliary diagnosis of atrial fibrillation is of great significance to improve the patient's treatment strategy, improve the quality of treatment, and reduce t...

AI Technical Summary

Problems solved by technology

These methods in the prior art have many limitations, because heart rate variability can generally only be used to reflect the change rule of the RR interval in a long time course, and it is easy to be affected by a small amount of abnormal heartbeat or artifact heartbeat when the time is short Interference, increasing the deviation of evaluation; at the same time, these indicators in the prior art calculate the heart rate variability over a period of time, which cannot reflect the details of the irregularity of the RR interval over time; in addition, it cannot accurately reflect the different types of RR intervals. For example, although the RR interval in some arrhythmias fluctuates sharply, it presents a certain rule (such as the alternation of length and length in bigeminy), and the existing technology calculates a large heart rate variation value, which cannot fully reflect Irregularity of the RR interval

Therefore, generally speaking, the error in judging the degree of irregularity of the RR interval in the electrocardiogram waveform in the prior art is relatively large

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