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Personalized electrocardiogram intelligent auxiliary diagnosis device and method

A technology for assisting diagnosis and electrocardiography, applied in the directions of diagnosis, diagnostic recording/measurement, medical science, etc., can solve problems such as unscientific methods of electrocardiogram diagnosis, and achieve the effect of reducing medical burden and improving diagnosis rate.

Inactive Publication Date: 2014-02-19
SHENZHEN ZHONGKE QIANGHUA TECH
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AI Technical Summary

Problems solved by technology

Some electrocardiogram diagnosis systems in the prior art directly use the previous electrocardiogram for learning classification, but ignore the influence of individual differences on the electrocardiogram, so that each patient uses the same index for diagnosis. Such an electrocardiogram diagnosis method is not scientific

Method used

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  • Personalized electrocardiogram intelligent auxiliary diagnosis device and method
  • Personalized electrocardiogram intelligent auxiliary diagnosis device and method
  • Personalized electrocardiogram intelligent auxiliary diagnosis device and method

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Embodiment Construction

[0013] The technical solution of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0014] On the one hand, the present invention proposes a personalized electrocardiogram intelligent auxiliary diagnosis device, figure 1 It is a structural diagram of a personalized electrocardiogram intelligent auxiliary diagnosis device according to an embodiment of the present invention.

[0015] In one embodiment, firstly, for several residents in a certain area, the electrocardiograms of the past 5 years were collected respectively, each resident selected 10 electrocardiograms, and the electrocardiograms had been diagnosed by a doctor. One of the status categories: normal sinus rhythm, atrial conduction block, supraventricular tachycardia, ventricular tachycardia, nodal rhythm, ventricular fibrillation, left focal ventricular contraction, right focal ventricular contraction , left bundle branch block, and right bu...

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Abstract

The invention discloses a personalized electrocardiogram intelligent auxiliary diagnosis device which comprises a feature vector extraction module used for extracting a to-be-trained electrocardiogram feature vector, a heart state classifier generation module used for training the to-be-trained feature vector to generate a heart state classifier, a user identification module used for obtaining user identity label, a heart state classifier storage module used for storing a heart state classifier of a corresponding user based on the user identity label, and a diagnosis module used for obtaining the heart state classifier of the corresponding user based on the user identity label and diagnosing a to-be-diagnosed electrocardiogram feature vector through the heart state classifier to obtain heart state classification, wherein the feature vector extraction module is also used for extracting the to-be-diagnosed electrocardiogram feature vector and a feedback electrocardiogram feature vector, and the heart state classifier generation module is also used for training the feedback electrocardiogram feature vector and updating the heart state classifier. According to the personalized electrocardiogram intelligent auxiliary diagnosis device and method, individual diagnosis can be performed on different individuals, and reference is provided for diagnosis of doctors.

Description

technical field [0001] The invention relates to the field of electrocardiogram diagnosis, in particular to a personalized electrocardiogram intelligent auxiliary diagnosis device and method. Background technique [0002] The electrocardiogram has important reference value for the research of the basic function of the heart and the diagnosis of heart disease. However, due to individual innate differences, even in the case of a healthy heart, the parameters of a single heartbeat in the ECG of each normal person are different. Some electrocardiogram diagnosis systems in the prior art directly use previous electrocardiograms for learning and classification, but ignore the influence of individual differences on electrocardiograms, so that each patient uses the same index for diagnosis. Such electrocardiogram diagnosis methods are not scientific. [0003] Therefore, designing an electrocardiogram diagnostic device that can perform individualized diagnosis on different individuals...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
Inventor 周树民王思闵邵伟樊建平
Owner SHENZHEN ZHONGKE QIANGHUA TECH
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