Method and device for assessing degree of rr interval irregularity of electrocardiogram waveform

Abstract

The present invention relates to a method for evaluating the irregularity of the RR interval of the electrocardiogram waveform, comprising the following steps: obtaining the first electrocardiogram waveform; obtaining the RR interval sequence in the first electrocardiogram waveform; The RR interval sequence is resampled to obtain a set number of RR interval differences, and the obtained interval difference is normalized; the probability distribution density is obtained according to the normalized interval difference, And the degree of irregularity of the RR interval of the electrocardiogram waveform is obtained according to the obtained probability distribution density. The invention also relates to a device for implementing the above method. Implementing the method and device for evaluating the irregularity of the RR interval of the electrocardiogram waveform of the present invention has the following beneficial effects: the irregularity of the RR interval obtained by using the method can be more accurate and closer to the real situation.

Description

Technical field [0001] The present invention relates to the field of medical equipment, and more specifically, to a method and device for evaluating the irregularity of the RR interval of an electrocardiogram waveform. Background technique [0002] Atrial fibrillation is abbreviated as atrial fibrillation, which is one of the most common arrhythmias in clinical practice. Atrial fibrillation is generally not directly life-threatening, but when atrial fibrillation occurs, factors such as 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 high-risk hearts. Vascular diseases, such as stroke, coronary artery disease, heart failure, etc. Therefore, the early detection of atrial fibrillation and auxiliary diagnosis research are of great significance to improve the treatment strategies of patients, improve the quality of treatment, and reduce the incid...

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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