Shockable rhythms recognition algorithm based on standard deviation of standard grid projection

Abstract

The invention relates to an electric shock conversion rhythm of the heart recognition algorithm based on the projection standard deviation of a standardization grizzly bar, which is applicable to an instrument or a device for diseases diagnosis. The recognition algorithm comprises steps as follows: S1. Electrical signals are pretreated; S2. The recognition of cardiac arrest rhythm of the heart is carried out on the electrical signals; if the electric signals are of cardiac arrest rhythm of the heart, non electric shock conversion rhythm of the heart is judged; if the electric signals are not of cardiac arrest rhythm of the heart, the following step S3 is carried out; S3. The projection standard deviation of the standardization grizzly bar is calculated; S4. The electric shock conversion rhythm of the heart and the non electric shock conversion rhythm of the heart are distinguished according to the projection standard deviation of the standardization grizzly bar. The recognition algorithm increases sensitivity and specificity of the electric shock conversion rhythm of the heart, simplifies the computational complexity of the recognition algorithm and can be applied to instruments and equipments such as existing ECG monitors and automatic external defibrillators and the like which recognize the electric shock conversion rhythm of the heart according to a body surface electrocardiogram.

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...

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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 example, as a typical example, the HILB algorithm also exists in instruments or devices for diagnosis and treatment of diseases. 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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