Fig. 1
From: A multi-context learning approach for EEG epileptic seizure detection
Schematic illustration of the overall approach pipeline. In this framework, we focus on extracting EEG context features in three aspects, referred to global, channel-wise, and temporal features, utilizing global principal component analysis (GPCA), stacked denoising autoencoders (SDAEs), and EEG embeddings, respectively. Then we feed the integrated features to the seizure detector