Method and device for quantitative analysis of pathological features of electrocardiographic data

A feature analysis, analysis device technology, applied in diagnostic signal processing, diagnostic recording/measurement, medical science, etc., to achieve the effect of precise treatment and convenience

Active Publication Date: 2021-07-13
SHANGHAI TURING MEDICAL TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the technical problem of comprehensively describing the complex electrical activity process of the heart and excavating more and richer dynamic pathological features in the electrical activity of the nonlinear system of the heart, the present invention proposes the following technical solutions:

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  • Method and device for quantitative analysis of pathological features of electrocardiographic data
  • Method and device for quantitative analysis of pathological features of electrocardiographic data
  • Method and device for quantitative analysis of pathological features of electrocardiographic data

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Embodiment 1

[0046] Embodiment 1: The embodiment of the present invention mainly solves the quantitative extraction of cardiac dynamic pathological features inherent in the dynamic data of the nonlinear system of cardiac electrical activity, and further solves the problem of how to perform decision-making judgment and fusion of multiple extracted quantitative indicators.

[0047] An embodiment of the present invention provides a dynamic multi-pathological feature quantitative extraction method of the cardiac electrical activity system, including the following steps: preprocessing the cardiac electrical signal data, obtaining ECG vector data, and intercepting target band data; using adaptive system identification Methods The target band data is modeled, and then the obtained system dynamic model is multi-dimensionally visualized to obtain the dynamic data of the nonlinear system of cardiac electrical activity; the method of heterogeneity analysis is used to extract the intrinsic heart The qu...

Embodiment 2

[0074] Embodiment 2: This embodiment provides a dynamic multi-pathological feature quantitative extraction method of the cardiac electrical activity system, which is a separate implementation or a supplementary description to the extraction method described in Example 1, especially given Specific implementations of the different characteristic methods described therein. In this embodiment, the construction of the dynamic pathological characteristics of the nonlinear system of cardiac electrical activity is described in detail.

[0075] The construction of the pathological features described in this embodiment is to calculate the dynamic various pathological features of the nonlinear system of cardiac electrical activity, including the following two steps:

[0076] Step 1. Obtain the dynamic data of the nonlinear system of cardiac electrical activity

[0077] The nonlinear system dynamic modeling is carried out on the collected ECG data, so as to obtain the dynamic data of the...

Embodiment 3

[0095] Embodiment 3: As a separate embodiment or as a supplementary description to the schemes of Embodiments 1 and 2, Embodiment 3 focuses on the implementation of a single feature method, the detection and auxiliary judgment criteria of different cardiac electrical activity system dynamic pathological feature indicators , which exemplarily introduces an abnormal analysis method of cardiac electrical signals.

[0096] Include N clinically known heart healthy individuals (N>50) and M clinically known certain heart disease individuals (M>100) as the test sample population, collect the electrocardiogram of the test sample population, and use the existing technology (see CN107260161A) Obtain a dynamic map of the nonlinear system of cardiac electrical activity. Obtain the geometric feature values ​​of all individuals by the geometric feature calculation method (according to the method described in step 2 (1) of Example 2), and carry out statistical classification based on probabil...

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Abstract

A method and device for quantitative analysis of pathological features of electrocardiographic data, relating to a method and device for quantitatively extracting multiple pathological features of a dynamic cardiac electrical activity system and an abnormal analysis method and device for cardiac electrical signals, belonging to the field of heart disease data feature mining and used to solve The problem of digging out more and richer dynamic pathological features in the electrical activity of the cardiac nonlinear system, the key point is to have the ability to extract the quantitative indicators of the cardiac dynamic pathological features inherent in the dynamic data of the nonlinear system of cardiac electrical activity by means of heterogeneity analysis Step, the heterogeneity analysis refers to the inhomogeneity and complexity analysis of the dynamic data of the nonlinear system of cardiac electrical activity in the process of spatial distribution and time deduction, and the effect is: the obtained information can present The dynamic pathological characteristics of the nonlinear system of cardiac electrical activity.

Description

technical field [0001] The invention belongs to the field of heart disease data feature mining, and relates to a method and device for quantitatively extracting multiple pathological features in a dynamic cardiac electrical activity system, and a method and device for abnormally analyzing cardiac electrical signals. Background technique [0002] Cardiovascular diseases, especially heart diseases caused by myocardial ischemia, have brought many adverse effects on human health. The World Health Organization pointed out: Among the top ten diseases that are most likely to cause human death, ischemic heart disease ranks first. In my country, the number of deaths due to cardiovascular disease ranks first among various diseases every year; among them, many patients suffer from myocardial ischemic coronary heart disease, but have no obvious clinical symptoms. Although modern coronary heart disease treatment technology has been continuously improved, and the cure rate of ischemic he...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/318A61B5/00
CPCA61B5/72A61B5/318A61B5/7257A61B5/349
Inventor 王云霞何毅钒
Owner SHANGHAI TURING MEDICAL TECH CO LTD
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