# BioLT

Clinical ECG, PPG and EEG now arrive as hours-long streams, yet most analysis still runs on isolated windows of about 10 seconds and cannot handle long, irregular, frequently interrupted signals. BioLT turns any window-level feature extractor or pretrained biosignal foundation model into a streaming model: it feeds the elapsed time between windows as an explicit input channel and keeps long-range context in a fixed-size compressed memory bank, so training and inference stay linear in recording length. Across CPSC-2021, VitalDB, MC-MED and CHB-MIT, covering arrhythmia, sepsis and seizure detection plus forecasting up to 20 minutes, BioLT had the highest detection AUROC in 15 of 21 dataset-feature settings and the highest 20-minute forecasting AUROC in 13.

Clinical ECG, PPG and EEG now arrive as hours-long streams, yet most analysis still runs on isolated windows of about 10 seconds and cannot handle long, irregular, frequently interrupted signals. BioLT turns any window-level feature extractor or pretrained biosignal foundation model into a streaming model: it feeds the elapsed time between windows as an explicit input channel and keeps long-range context in a fixed-size compressed memory bank, so training and inference stay linear in recording length. Across CPSC-2021, VitalDB, MC-MED and CHB-MIT, covering arrhythmia, sepsis and seizure detection plus forecasting up to 20 minutes, BioLT had the highest detection AUROC in 15 of 21 dataset-feature settings and the highest 20-minute forecasting AUROC in 13.