Acute Myocardial Infarction Qualitative Automatic Discrimination System Based on CNN Neural Network

Abstract

A qualitative automatic discrimination system for acute myocardial infarction based on CNN neural network, which relates to the technical field of qualitative discrimination of myocardial infarction, including data acquisition system, cloud platform data storage system, qualitative discrimination analysis system and data display system; wearable ECG monitor and The person to be identified connects, records and generates 12-lead original ECG; the ECG acquisition system acquires 12-lead original ECG data, including P wave amplitude, QRS wave group amplitude, ST segment amplitude and T wave amplitude; qualitative discriminant analysis The system uses the qualitative discrimination model obtained based on CNN neural network training to perform convolution calculations to obtain discriminant intermediate data, and the discriminant intermediate data is mapped by the sigmoid function to obtain discriminant result data, so as to make a qualitative judgment on whether the person to be judged suffers from acute myocardial infarction; The application is to provide a qualitative automatic identification system for acute myocardial infarction based on CNN neural network, which can make accurate qualitative identification of whether the person to be identified has acute myocardial infarction.

Description

technical field [0001] The invention relates to the technical field of qualitative identification of myocardial infarction, in particular to a CNN neural network-based automatic qualitative identification system for acute myocardial infarction. 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, and the mort...

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.

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