Defibrillating heart rhythm recognition method based on order statistics and support vector machine

Abstract

The embodiment of the invention discloses a defibrillating heart rhythm recognition method based on order statistics and a support vector machine and a defibrillating heart rhythm recognition device based on order statistics and the support vector machine, and solves the technical problems that the present ShR / NshR recognition method needs to acquire long electro-cardio signals (usually 8 seconds)to guarantee certain classification performance, which delays the defibrillation rescue time. The method comprises the steps that S1, differential operation is performed on the acquired first electro-cardio signals so as to obtain the second electro-cardio signals; S2, the second electro-cardio signals are arranged according to an ascending order so as to obtain the order statistics; and S3, theorder statistics is inputted to a nonlinear classifier so as to obtain the classification result of ShR and NshR.

Description

technical field [0001] The invention relates to the technical field of medical equipment, in particular to a defibrillable cardiac rhythm identification method based on sequential statistics and a support vector machine. Background technique [0002] According to the "China Cardiovascular Disease Report 2016" released by the National Center for Cardiovascular Diseases, the number of sudden cardiac deaths in my country exceeds 540,000 each year, which is equivalent to about 1,500 people dying of sudden cardiac death every day. Sudden cardiac death is mainly caused by ventricular fibrillation (Venticular Fibrillation, VF) and ventricular tachycardia (VT). Among them, the onset of VF is often without warning. During the onset, the electrical activity of the ventricles loses synchronization, and the pumping function of the heart is lost. If measures are not taken in time to convert the heart rhythm, sudden death will occur within a few minutes. The implementation of electric sh...

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Problems solved by technology

[0006] The present invention provides a defibrillation cardiac rhythm recognition method and device based on sequential statistics and support vector machines, which solves the problem that the existing ShR / NshR recognition method needs to collect a relatively long ECG signal, usually 8 seconds, to ensure Certain classification performance leads to technical problems that delay defibrillation and rescue time

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