Shenfu Xie

Contrastive learning based multi-scale spatio-temporal-spectral network for patient-specific EEG seizure prediction

Accurate seizure prediction using electroencephalogram (EEG) signals is crucial for improving patients’ quality of life. However, the latent representations of preictal and interictal samples are difficult to effectively distinguish within the feature space. In this study, we propose a patient-specific seizure predicti...