Fig. 1From: Detecting epileptic seizures with electroencephalogram via a context-learning modelSchematic illustration of the overall framework. In this framework, we focus on extracting representative features from EEG signals. On one hand we extract the hidden inherent features of each EEG fragment by segmenting the EEG signals and learning the EEG dictionary. On the other hand, we extract the temporal features by analyzing the EEG contexts of EEG fragments. And finally, we send the integrated features to the classifierBack to article page