ECG (electrocardiogram) diagnosis system based on chaos features

A technology of chaotic characteristics and electrical diagnosis, which is applied in the direction of diagnosis, diagnostic recording/measurement, medical science, etc., can solve problems such as errors and misjudgments, and achieve the effect of effective diagnosis and accurate health status

Inactive Publication Date: 2016-08-17
JIANGSU CAS JUNSHINE TECH
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  • Description
  • Claims
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Problems solved by technology

Conventional identification methods are mainly based on the doctor's naked eye observation, and then use rich clinical experience to identify ECG health, which is prone to errors and misjudgments

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  • ECG (electrocardiogram) diagnosis system based on chaos features
  • ECG (electrocardiogram) diagnosis system based on chaos features
  • ECG (electrocardiogram) diagnosis system based on chaos features

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0020] ECG diagnosis system based on chaotic features, such as figure 1 As shown, including ECG acquisition front-end 1 and ECG diagnosis platform 2;

[0021] The ECG acquisition terminal 1 adopts a single-channel electrocardiograph, which is used to collect ECG signals through a single lead, and transmits the ECG signals to the ECG diagnosis platform 2; the transmission mode is through USB interface or WIFI wireless communication;

[0022] The ECG diagnosis platform 2 extracts the chaotic characteristic parameters of the ECG signal and compares them with the discriminant rules obtained through the training samples in advance to obtain the diagnosis result. The electrocardiographic diagnosis platform 2 is a computer or a mobile smart device.

[0023] Such as figure 2 As shown, the single-channel electrocardiograph includes: a single-channel electrocardiogra...

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Abstract

The invention provides an ECG (electrocardiogram) diagnosis system based on chaos features. The system comprises an ECG acquisition front-end, namely, single-channel ECG equipment, and further comprises an ECG diagnosis platform, wherein the ECG acquisition front-end is used for acquiring ECG data through a single lead and transmitting the ECG data to the ECG diagnosis platform through a USB interface or WIFI wireless communication; chaos feature parameters of ECG signals are extracted by an ECG analysis terminal and compared with a discriminant rule obtained through training samples in advance, and a diagnosis result can be obtained. The ECG diagnosis system has the advantage that the health condition of the heart can be described more accurately according to the chaos features of the ECG signals. The chaos features of the ECG signals include a correlation dimension and a more accurate lyapunov exponential spectrum, and the heart diseases can be diagnosed more effectively according to the feature parameters.

Description

technical field [0001] The invention relates to an electrocardiographic health diagnosis device, in particular to a system for analyzing electrocardiographic signals. Background technique [0002] The electrocardiogram is the main basis for diagnosis and treatment of heart activity in hospitals. Small changes in the ECG signal will hide the current state of health of the heart. Conventional electrocardiographic methods mainly judge the health status of the heart through the time-domain and frequency-domain characteristics of the ECG signal. The heart is a chaotic system, and the ECG signal has nonlinear characteristics. Compared with conventional methods, the ECG health discrimination method based on chaotic features has better applicability. Conventional identification methods are mainly based on the doctor's naked eye observation, and then based on rich clinical experience to identify ECG health, which is prone to errors and misjudgments. Contents of the invention ...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/7203A61B5/7225A61B5/7271A61B5/316A61B5/318
Inventor 杨金虎卢小冬张海英胡冰
Owner JIANGSU CAS JUNSHINE TECH
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