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

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Embodiment

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

[0036] The data acquisition system 1 includes a wearable electrocardiogram monitor 11 and an electrocardiogram acquisition system 12. The wearable electrocardiogram monitor 11 is connected to the person to be discriminated, and records and generates data generated by the heart of the person to be discriminated in each cardiac cycle. A 12-lead original electrocardiogram with changes in electrical activity; the electrocardiogram acquisition system 12 is used to obtain 12-lead original electrocardiogram data, which includes the amplitude of the P wave, the amplitude of the QRS complex, the amplitude of the ST segment, and the amplitude of the T wave, The wearable electrocardiogram monitor 11 ...

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Abstract

The invention discloses a qualitative automatic discrimination system of acute myocardial infarction based on CNN neural network, and relates to the technical field of myocardial infarction qualitative discrimination. The qualitative automatic discrimination system comprises a data acquisition system, a cloud platform data storage system, a qualitative 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 qualitative discrimination analysis system utilizes a qualitative 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 qualitative discrimination of whether the to-be-discriminated personnel suffering fromthe acute myocardial infarction or not is made. The qualitative automatic discrimination system of the acute myocardial infarction based on the CNN neural network makes accurate qualitative discrimination of whether the to-be-discriminated personnel suffering from the acute myocardial infarction or not.

Description

Technical field [0001] The invention relates to the technical field of qualitative discrimination of myocardial infarction, and in particular to an automatic qualitative discrimination system of acute myocardial infarction based on CNN neural network. Background technique [0002] Acute myocardial infarction is myocardial necrosis caused by acute and persistent ischemia and hypoxia of coronary arteries. Clinically, there are often severe and long-lasting retrosternal pain, rest and nitrate drugs cannot be completely relieved, accompanied by increased serum myocardial enzyme activity and progressive changes in electrocardiogram, which can be complicated by arrhythmia, shock or heart failure, and can often be life-threatening. The disease is most common in Europe and the United States. Approximately 1.5 million people suffer acute myocardial infarction each year in the United States. In recent years, China has shown a significant upward trend, with at least 500,000 new cases each ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/6802A61B5/7235A61B5/7253A61B5/742A61B5/746A61B5/316A61B5/318
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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