Defibrillation success probability predicting method and defibrillation instrument

A defibrillator, point data technology, applied in the direction of cardiac defibrillators, etc., can solve the problems of insufficient accuracy, long signal length, affecting the treatment of patients with ventricular fibrillation, etc., to achieve the effect of high accuracy and short length

Active Publication Date: 2015-01-14
ARMY MEDICAL UNIV
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AI Technical Summary

Problems solved by technology

However, the prediction accuracy of most algorithms is not high enough, and the signal length required for analysis is long, which will affect the treatment of patients with ventricular fibrillation

Method used

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  • Defibrillation success probability predicting method and defibrillation instrument
  • Defibrillation success probability predicting method and defibrillation instrument
  • Defibrillation success probability predicting method and defibrillation instrument

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Embodiment Construction

[0034] The present invention will be described in detail below with reference to the drawings, such as figure 1 Shown:

[0035] The method for predicting the success probability of defibrillation of the present invention includes the following steps:

[0036] Step 1: Collect the ECG signal data, obtain the patient's ECG signal through the defibrillation electrode, and preprocess it through the band-pass filter. The frequency range of the band-pass filter is 2Hz~48Hz.

[0037] Step 2: Before defibrillation, use a rectangular window to select the ECG data images from 0.1s to 10s for analysis, delay the selected signal τ, and use the original signal as the horizontal axis and the delayed signal as the vertical axis Coordinates draw a two-dimensional scatter diagram, and map one-dimensional ECG data to a two-dimensional plane, where τ=3ms.

[0038] Step 3: Such as figure 2 As shown, the two-dimensional scatter diagram is analyzed, the distance between each scatter point and the line x=y...

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Abstract

The invention discloses a defibrillation success probability predicting method, and relates to the technical field of electric defibrillation. The method includes the steps of obtaining electrocardio signals of a patient through a defibrillation electrode, conducting digitalized collection after amplifying and filtering are conducted, mapping collected one-dimensional electrocardio data to a two-dimensional plane after delaying the one-dimensional electrocardio data by a certain period of time, calculating phase space scale parameters through the morphology and distribution of a two-dimensional mapping scatter diagram, establishing a multi-parameter predicting function model through a mathematical modeling method, and calculating the index for predicting the defibrillation success, wherein the phase space scale parameters include the scatter data distribution width and the scatter data distribution uniform degree. The method has the advantages that the duration for collecting and analyzing signals is short, and therefore the treatment of a ventricular fibrillation patient can not be influenced; the phase space scale is calculated in real time, the defibrillation success probability is evaluated, and guidance advises are provided for medical staff so that the medical staff can know whether to immediately conduct defibrillation or not; the precision of the defibrillation success probability predicting method is higher than that of an existing defibrillation success probability predicting method.

Description

Technical field [0001] The invention relates to the technical field of electric shock defibrillation, in particular to a method for predicting the success probability of defibrillation. Background technique [0002] Electrical shock defibrillation is an important part of the process of cardiopulmonary resuscitation (CPR), which refers to the termination of ventricular fibrillation by impacting the heart with a certain amount of current. The success of electric shock defibrillation is directly related to the survival of patients with ventricular fibrillation, and is the most effective way to treat ventricular fibrillation. Studies have shown that by analyzing the ECG signals of patients with ventricular fibrillation, it is possible to grasp the patient's heart state in real time, and make effective judgments and predictions about whether the electric shock defibrillation can be successful at this moment. This prediction of defibrillation efficiency can greatly reduce unnecessary ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N1/39
Inventor 李永勤龚渝顺何密杨克柽陈碧华王建杰
Owner ARMY MEDICAL UNIV
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