Abstract: Traditional electroencephalograph (EEG)-based emotion recognition requires a large number of calibration samples to build a model for a specific subject, which restricts the application of ...
Abstract: In recent years, self-supervised methods have been widely used in representation learning for electrocardiogram (ECG), but most of the existing methods are based on contrastive learning.
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