Shockable rhythm recognition algorithm based on standard deviation of standard slope absolute value

Abstract

A recognition algorithm of heart rhythm capable of electric shock cardioversion based on standard deviation fo the standardized slope absolute value, is suitable for disease diagnosis and treatment instrument or apparatus, including the steps: S1, preprocessing the electrocardiosignal; S2, recognizing whether the electrocardiosignal is the heart rhythm of cardiac arrest, if so, judging the heart rhythm as the heart rhythm incapable of electric shock cardioversion, otherwise, continuing the follow-up steps S3 and S4; S3, calculating the standard deviation of the standardized slope absolute value; S4, determining whether it pertains to the heart rhythm incapable of electric shock cardioversion or the heart rhythm capable of electric shock cardioversion based on the standard deviation of the standardized slope absolute value. The invention improves the sensitivity and specificity of recognizing the heart rhythm capable of electric shock cardioversion, simplifies the computational complexity of the algorithm, can be applied to the existing ECG guardianship equipment and automatic external defibrillator, and the like instruments requiring body surface electrocardiogram for recognizing the heart rhythm capable of electric shock cardioversion.

Description

technical field [0001] The invention relates to an electrocardiographic signal (ECG) recognition method, in particular to a shockable rhythm (Shockable Rhythm, ShR) recognition algorithm which can improve the performance of existing electrocardiographic monitors and automatic external defibrillators. Background technique [0002] Sudden cardiac death (SCD) refers to sudden natural death due to cardiac causes. Most of the causes of sudden cardiac death are temporary dysfunction and electrophysiological changes on the basis of various cardiovascular diseases, and cause malignant ventricular arrhythmias such as ventricular tachycardia (referred to as ventricular tachycardia, VT), ventricular tachycardia, etc. Fibrillation (referred to as ventricular fibrillation, VF) and so on. Shock defibrillation is the first effective method of terminating most tachymalignant ventricular arrhythmias. [0003] In 1997, the American Heart Association (AHA) published a recommendation in Circu...

AI Technical Summary

Problems solved by technology

[0005] There are various problems in the identification algorithms of shockable cardioverter rhythms reported in the literature at present. For example, because the shape of ECG will change greatly during ventricular fibrillation, various algorithms based on ECG R wave recognition are not suitable for shockable cardioverter rhythms. Discrimination; phase space reconstruction (Phase Space Reconstruction Algorithm, PSR) algorithm, signal comparison algorithm (Signal Comparison Algorithm, SCA), etc. have high specificity, but poor sensitivity; The calculation of the algorithm is complex and requires high hardware requirements

Therefore, the existing discrimination algorithms for shockable heart rhythms still have problems such as inability to balance sensitivity and specificity, or complex calculations. For some of these shortcomings, the HILB algorithm uses a method often used in the analysis of nonlinear signals - the Hilbert transform method to construct the phase space

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