hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction
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Introduction: Modeling multi-channel electroencephalographic (EEG) time-series is a challenging tasks, even for the most recent deep learning approaches. Particularly, in this work, we targeted our efforts to the high-fidelity re... ...
