AIBullisharXiv – CS AI · 10h ago7/10
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SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning
SPOTR, a new self-supervised learning framework, significantly advances physiological signal processing by using a single-token bottleneck to compress and reconstruct EEG, ECG, PPG, and iEEG signals. The model demonstrates substantial performance improvements across 20 datasets while reducing computational requirements by 78% in latency and 52% in GPU memory compared to existing foundation models.