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REVE-base outperformed traditional methods in detecting burst suppression, achieving a remarkable 52.1% reduction in burst-per-minute error.
Foundation models for EEG can now be 377x more efficient and handle 12x longer sequences, thanks to a novel Mamba-based architecture that also cracks the code for handling variable electrode setups.
