Intelligent supraventricular premature beat analysis method based on attention conversion mechanism
An intelligent analysis and supraventricular technology, applied in the field of medical artificial intelligence, can solve the problems of high error rate of arrhythmia recognition and achieve the effect of improving efficiency
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[0114]Such asfigure 1 As shown, the present invention has a chamber-based premature beat intelligent analysis method based on a focal conversion mechanism comprising the steps of the following steps.
[0115]S1: Gets the electrocardiogram to be identified; about 100,000 data of the dynamic electrocardiogram every 24 hours, it is used to identify the electrocardiogram to be identified, and each time it inputs a set of to identify the data. Identify.
[0116]S2: Based on the electrocardiographic data to be identified, the full data time RR interval scatter map; for specific implementation, the continuous RR interval in the long-range core map is longitudinal coordinates, and the time is the abscissa in the right angle coordinate system. Barview; refer to the drawingsFigure 5 , For an embodiment of the time RR interval scatter plot of the ECG.
[0117]S3: In the full data time RR interval scatter plot, search the RR interval smooth heart rate fragment;
[0118]The RR inter-interval stationary hear...
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