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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
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
This disclosure relates to an epileptic seizure predicting device (1) that executes a seizure predicting process (12). The seizure predicting process (12) includes: a process of providing, as input data, electrocardiographic index data generated from an electrocardiographic signal of a subject, to an autoencoder (AE) that has been provided with and has learned with, as learning input data, learning electrocardiographic index data generated from an electrocardiographic signal of an epilepsy patient, and obtaining output data which is reconstruction data of the input data; a process of calculating an error between the input data and the output data of the subject; and a detection process of detecting a sign of an epileptic seizure of the subject on the basis of whether or not the error exceeds a management limit that the error should not exceed in a case of a seizure-free interval of epilepsy.
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