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
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[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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