An Automatic Discrimination System of Acute Myocardial Infarction Timing Period Based on CNN Neural Network

Abstract

The invention discloses an automatic acute myocardial infarction fixed period discrimination system based on a CNN, and relates to the technical field of myocardial infarction fixed period discrimination. The automatic acute myocardial infarction fixed period discrimination system comprises a data acquisition system, a cloud platform data storage system, a fixed period discrimination and analysissystem and a data display system. A wearable ECG monitor is connected with a person to be discriminated, and records and generates 12-lead original electrocardiograms; an electrocardiogram acquisitionsystem acquires data of the 12-lead original electrocardiograms such as P wave amplitudes, QRS wave group amplitudes, ST segment wave amplitudes and T wave amplitudes; and the fixed period discrimination and analysis system uses a fixed period discrimination model obtained by training based on the CNN neural network to carry out convolution calculation to obtain discrimination intermediate data,and then obtains discrimination result data through sigmoid function mapping, so that fixed period discrimination of an occurrence period of acute myocardial infarction of the person to be discriminated is performed. The automatic acute myocardial infarction fixed period discrimination system based on the CNN neural network can accurately discriminate whether a person to be discriminated is in theacute myocardial infarction occurrence period or not.

Description

technical field [0001] The invention relates to the technical field of period identification of myocardial infarction, in particular to a CNN neural network-based automatic period 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 mortality rate...

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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