1-Page Technical Papers (Poster)
12:00 - 13:45 | Mon 6 Nov | Auditorium Foyer, E1/E2, Upper Atrium Space | MLunch_Break
Monitoring devices for detecting seizures are very helpful for early intervention in daily life. Several studies have suggested methods for detecting generalized tonic-clonic seizures (GTCs) using an accelerometer placed on the patient's wrist. However, these studies need to be improved in terms of accuracy. In this study, we employed the convolutional neural network (CNN) for detecting the GTCs based on a time-frequency spectrogram of the acceleration data. The result shows that the CNN-based GTCs detection approach could achieve more accurate detection compared to the previous detection methods.
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