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Fig. 1 | BMC Systems Biology

Fig. 1

From: A multi-context learning approach for EEG epileptic seizure detection

Fig. 1

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

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