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The University of Texas at San Antonio
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Clinical ECG foundation models can be effectively adapted for wearable cognitive load assessment, achieving state-of-the-art performance through lead adaptation and progressive fine-tuning.
Eye-tracking AI can now handle missing data and long sequences in real-time, unlocking wearable cognitive load monitoring with MambaGaze's 4-12% accuracy boost and efficient edge deployment.