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

A recognition algorithm and absolute value technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of incompatibility between sensitivity and specificity, poor sensitivity, high hardware requirements, etc., to simplify calculation complexity, improve sensitivity and specific effect

Inactive Publication Date: 2009-06-24
FUDAN UNIV
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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, S

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

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Embodiment Construction

[0035] The present invention will be further described below through specific examples.

[0036] Present embodiment is a kind of possible realization of the present invention on personal computer (PC) and matrix laboratory (MatrixLaboratory, Matlab) platform, and by MIT arrhythmia database (MITDB), Clayton University ventricular rhythm Arrhythmia Database (CUDB) and MIT Malignant Ventricular Arrhythmia Database (VFDB) are used to test and compare on the test data set composed of three standard databases. The specific steps of this embodiment are as follows:

[0037] 1. Preprocessing the ECG signal:

[0038] a) Use a 5th-order moving average filter to filter out high-frequency noise such as scatter noise and myoelectric noise;

[0039] b) Use a high-pass filter with a cutoff frequency of 1 Hz to suppress baseline drift;

[0040] c) Use a Butterworth low-pass filter with a cutoff frequency of 30Hz to further filter out irrelevant high-frequency components.

[0041] 2. Recogn...

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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...

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Application Information

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IPC IPC(8): A61B5/0452A61B5/046
Inventor 宋海浪邬小玫方祖祥
Owner FUDAN UNIV
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