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Method for improving efficiency of electrocardiogram diagnosis system on the basis of chaotic features

A technology with system efficiency and chaotic characteristics, applied in the directions of diagnosis, medical automation diagnosis, diagnosis recording/measurement, etc., can solve the problems of low efficiency, long ECG signal time, and application obstacles of ECG diagnosis platform.

Active Publication Date: 2016-09-28
JIANGSU CAS JUNSHINE TECH
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Problems solved by technology

The efficiency of the ECG diagnosis platform is a very important performance indicator, but the current problem is that the ECG diagnosis platform takes too long to process the ECG signal and the efficiency is low
The main reason for this problem is that the ECG diagnosis platform takes a lot of time to calculate a chaotic characteristic parameter of the ECG signal: correlation integral
This problem has brought great obstacles to the application of ECG diagnosis platform

Method used

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  • Method for improving efficiency of electrocardiogram diagnosis system on the basis of chaotic features
  • Method for improving efficiency of electrocardiogram diagnosis system on the basis of chaotic features
  • Method for improving efficiency of electrocardiogram diagnosis system on the basis of chaotic features

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0047] Such asfigure 1 As shown, an electrocardiographic diagnosis system includes a single-channel electrocardiograph 1 and an electrocardiographic diagnosis platform 2 . Single-channel electrocardiograph 1 is used as the front end of ECG collection, and described single-channel electrocardiometer 1 collects electrocardiographic data through a single lead; The electrocardiographic signal obtained is transmitted to electrocardiographic diagnosis platform 2 through USB interface or WIFI wireless network; The ECG diagnosis platform 2 will analyze the chaotic characteristic parameters of the ECG signal, and give the diagnosis result in combination with the discriminant rules obtained through training.

[0048] The steps of ECG diagnosis platform 2 are as follows:

[0049] Preprocess and store the ECG signals transmitted to the ECG diagnosis platform. The signal p...

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Abstract

The invention provides a method for improving the efficiency of an electrocardiogram diagnosis system on the basis of chaotic features, and causes the electrocardiogram diagnosis system to make accurate electrocardiogram diagnosis in short time. A laptop (which has the following configuration: the CPU is Intel I5-4200H, the system is Windows 8.1, and the memory is 4GG) is used for calculating one group of electrocardiogram time series of which the length is 10000 points, time required by a traditional method for calculation is about 12 hours, time required by a traditional improved algorithm for calculation is about 10 minutes, and time for the method provided by the invention for calculation is about 2 minutes. Correlation integral calculation is the core of correlation dimension calculation. The method disclosed by the invention improves a calculation method of the correlation integral calculation, and a traditional correlation integral calculation method carries out calculation according to a definition. The thought of a quick method in the invention reduces a great quantity of repeated calculations in a traditional algorithm as much as possible on a premise that calculation contents are not changed.

Description

technical field [0001] The invention relates to a new method for improving electrocardiographic diagnosis based on chaotic characteristics, belonging to the technical field of electrocardiographic analysis. Background technique [0002] The method of diagnosing heart disease based on the chaotic characteristics of ECG signal is a new technology at present. According to the characteristics of the nonlinear system of the heart, the technology combined with nonlinear dynamics can diagnose heart diseases more accurately and effectively. The current ECG diagnosis system based on chaotic features includes a front-end acquisition device for ECG signals and a back-end ECG diagnosis platform. The efficiency of the ECG diagnosis platform is a very important performance indicator, but the current problem is that the ECG diagnosis platform takes too long to process the ECG signal and the efficiency is low. The main reason for this problem is that the ECG diagnosis platform needs to sp...

Claims

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Application Information

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IPC IPC(8): G06F19/00A61B5/0402
CPCA61B5/318G16H50/20
Inventor 杨金虎卢小冬张海英胡冰
Owner JIANGSU CAS JUNSHINE TECH
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