Shockable rhythm recognition algorithm based on grid projection distribution dispersion

Abstract

A recognition algorithm of heart rhythm capable of electric shock cardioversion based on grid projection distribution dispersion, 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 distribution dispersion of the grid projection; 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 distribution dispersion of the grid projection. 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) recognition algorithm which can improve the performance of existing electric 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 disorders and electrophysiological changes on the basis of various cardiovascular diseases, and cause malignant ventricular arrhythmias such as ventricular tachycardia (abbreviation, VT), ventricular fibrillation (abbreviation Ventricular fibrillation, VF) etc. Electric shock defibrillation is the first effective method to terminate most malignant ventricular arrhythmias. [0003] In 1997, the American Heart Association (AHA) published in Circulation a recommendation related to automatic external defibrillator (AED) algorithm pe...

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Problems solved by technology

[0005] There are various problems in the recognition algorithm of shockable cardioversion reported in the literature at present. For example, because the shape of the ventricular ECG will change greatly, various algorithms based on the R wave recognition of the ECG are used to distinguish the shockable cardioverter rhythm; Although the Phase Space Reconstructiontithm (PSR) algorithm and the Signal Comparison Algorithm (SCA) have high specificity, the sensitivity is poor; while some algorithms based on various transformations and complexity analysis are complex in calculation, Higher requirements on hardware

Therefore, the existing discrimination algorithm for shockable heart rhythm still has problems such as inability to balance sensitivity and specificity, or complicated calculations. For example, as a typical example, HILB algorithm also exists in instruments or devices for diagnosis and treatment of diseases Some disadvantages, 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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