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Positioning automatic discrimination system of acute myocardial infarction based on CNN neural network

An acute myocardial infarction and neural network technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as automatic identification of ECG ST segment changes, and achieve the effect of improving diagnostic sensitivity

Active Publication Date: 2018-12-04
上海移视网络科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the electrocardiogram equipment currently used in clinical practice cannot accurately and automatically identify changes in the ST segment of the electrocardiogram.

Method used

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  • Positioning automatic discrimination system of acute myocardial infarction based on CNN neural network
  • Positioning automatic discrimination system of acute myocardial infarction based on CNN neural network
  • Positioning automatic discrimination system of acute myocardial infarction based on CNN neural network

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Experimental program
Comparison scheme
Effect test

Embodiment

[0035] Such as figure 1 As shown, a CNN neural network-based automatic identification system for acute myocardial infarction location includes a data acquisition system 1, a cloud platform data storage system 2, a location identification analysis system 3, and a data display system 4;

[0036] The data acquisition system 1 includes a wearable ECG monitor 11 and an ECG acquisition system 12. The wearable ECG monitor 11 is connected with the person to be identified, records and generates the heart rate of each cardiac cycle of the person to be identified. 12 lead original electrocardiograms of electrical activity changes; the electrocardiogram acquisition system 12 is used to obtain 12 lead original electrocardiogram data, which data include the amplitude of P wave, the amplitude of QRS complex, the amplitude of ST segment and the amplitude of T wave, Wherein the wearable ECG monitor 11 and the ECG acquisition system 12 are existing clinical medical equipment.

[0037] The clou...

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Abstract

The invention discloses a positioning automatic discrimination system of acute myocardial infarction based on CNN neural network, and relates to the technical field of myocardial infarction positioning discrimination. The positioning automatic discrimination system comprises a data acquisition system, a cloud platform data storage system, a positioning discrimination analysis system and a data display system. A wearable ECG monitor is connected with to-be-discriminated personnel to record and generate a 12 lead primitive electrocardiogram; an electrocardiogram acquisition system acquires 12 lead primitive electrocardiogram data including wave amplitude of P wave, wave amplitude of a QRS wave group, wave amplitude of a ST section and wave amplitude of T wave; and the positioning discrimination analysis system utilizes a positioning discrimination model acquired based on CNN neural network training to carry out convolution calculation to acquire discrimination intermediate data, and thediscrimination intermediate data are mapped by a sigmoid function to acquire discrimination result data, so that positioning discrimination of occurrence positions of the acute myocardial infarction of the to-be-discriminated personnel is made. The positioning automatic discrimination system of the acute myocardial infarction based on the CNN neural network makes accurate positioning discrimination of the occurrence positions of the acute myocardial infarction of the to-be-discriminated personnel.

Description

technical field [0001] The invention relates to the technical field of qualitative identification of myocardial infarction, in particular to an automatic identification system for positioning acute myocardial infarction based on a CNN neural network. Background technique [0002] Acute myocardial infarction is myocardial necrosis caused by acute and persistent coronary ischemia and hypoxia. Clinically, there are often severe and persistent substernal pains, which cannot be completely relieved by rest and nitrates, accompanied by increased serum myocardial enzyme activity and progressive ECG changes, which may be complicated by arrhythmia, shock or heart failure, often life-threatening. The disease is most common in Europe and America, and about 1.5 million people in the United States suffer from acute myocardial infarction every year. China has shown a clear upward trend in recent years, with at least 500,000 new cases each year and at least 2 million existing cases. In the...

Claims

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Application Information

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IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/6802A61B5/7235A61B5/7253A61B5/316A61B5/318
Inventor 徐亚伟陈维朱梦云张毅唐恺赵逸凡高梓桓徐亚文赵宇徐潇李昕侯杨
Owner 上海移视网络科技有限公司
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