AINeutralarXiv – CS AI · 6h ago6/10
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SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models
Researchers introduce SL-S4Wave, a self-supervised learning framework combining contrastive learning with structured state space models to analyze physiological waveforms like ECGs and EEGs. The approach outperforms existing methods in detecting arrhythmias, requires fewer labeled examples, and generalizes effectively across different cardiac conditions and brain signals.