An atrial fibrillation prediction model generation technique, and an atrial fibrillation prediction technique. The electrocardiographic data of atrial fibrillation patients and non-atrial fibrillation patients in the set time interval are analyzed to extract important features of the T wave, and based on these, an atrial fibrillation prediction model that can be used to predict atrial fibrillation is created.We analyzed the electrocardiogram data of the measured subjects and extracted the important features of the T waves. We also retrieved the atrial fibrillation patterns corresponding to the important features of the T waves of the extracted subjects from the stored atrial fibrillation prediction models,;
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