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Therefore, automated detection of seizure is of great value. Nevertheless the huge variety of EEG signals belonging to different customers helps make the task of seizure recognition much challenging, both for real human specialists and automation methods. We suggest three-deep transfer convolutional neural communities (CNN) for automatic cross-subject seizure detection, based on VGG16, VGG19, and ResNet50, correspondingly. The initial dataset may be the CHB-MIT head EEG d
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