BioLT: Streaming Biosignal Modeling

Clinical biosignals such as ECG, PPG, and EEG are increasingly acquired as hours-long streams from bedside monitors and wearables, yet existing analysis pipelines almost universally operate on isolated short windows of around 10 seconds and cannot process the long, irregular, frequently interrupted signals. We introduce BioLT, a streaming decoder-only framework for long-context biosignal modeling that turns any window-level feature extractor or pretrained biosignal foundation model into a streaming model. BioLT combines (i) a discontinuity-aware encoding that exposes the inter-window elapsed t

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