The present disclosure relates to an epileptic seizure predicting device (1) which executes a seizure predicting process (12). The seizure predicting process (12) includes: a process of providing electrocardiographic index data generated from an electrocardiographic signal of an examinee, as input data, to an auto-encoder (AE) that has learned by being provided with electrocardiographic index data for learning, generated from an electrocardiographic signal of an epileptic patient, as input data for learning, and acquiring output data comprising reconstructed data obtained by reconstructing the input data; a process of calculating an error between the input data and the output data of the examinee; and a process of detecting an indication of an epileptic seizure in the examinee on the basis of whether the error exceeds a management limit within which the error should fall during interictal periods of epilepsy.
EPILEPTIC SEIZURE PREDICTING DEVICE, METHOD FOR ANALYZING ELECTROCARDIOGRAPHIC INDEX DATA, SEIZURE PREDICTING COMPUTER PROGRAM, MODEL CONSTRUCTING DEVICE, MODEL CONSTRUCTING METHOD, AND MODEL CONSTRUCTING COMPUTER PROGRAM