Electrocardiogram data pathological feature quantitative analysis method and device

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

Active Publication Date: 2018-10-16
SHANGHAI TURING MEDICAL TECH CO LTD
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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:

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electrocardiogram data pathological feature quantitative analysis method and device
  • Electrocardiogram data pathological feature quantitative analysis method and device
  • Electrocardiogram data pathological feature quantitative analysis method and device

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an electrocardiogram data pathological feature quantitative analysis method and device, relates to a method and device for quantitative extraction of dynamic multiple pathological features of a cardiac electrical activity system and an abnormal analysis method and device for cardiac electrical signals, and belongs to the field of cardiac disease data feature mining. The electrocardiogram data pathological feature quantitative analysis method and device are used for solving the problem of mining more and richer dynamic pathological features in electrical activities of acardiac nonlinear system. The key point of the electrocardiogram data pathological feature quantitative analysis method and device is that the step of extracting quantification index of inherent cardiac dynamic pathological characteristics of dynamic data of a cardiac electrical activity nonlinear system by the method of heterogeneity analysis is achieved, wherein the heterogeneity analysis refersto non-uniformity and complexity analysis of the dynamic data of the cardiac electrical activity nonlinear system in the process of spatial distribution and time deduction. The effect of the electrocardiogram data pathological feature quantitative analysis method and device is that the obtained information can present the dynamic pathological features which are difficult to measure by traditionalmethods of the cardiac electrical activity nonlinear system.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402
CPCA61B5/72A61B5/318A61B5/7257A61B5/349
Inventor 王云霞何毅钒
Owner SHANGHAI TURING MEDICAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap