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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–6 of 6 filtered models
Sleep staging from one behind-the-ear electrode pair, feeding automated REM-sleep-without-atonia scoring and REM sleep behaviour disorder detection.
Automated sleep staging for polysomnography in Parkinson's disease and isolated REM sleep behaviour disorder, with per-epoch confidence estimates.
Self-supervised transformer encoding a full eight-hour, seven-channel polysomnogram into task-agnostic representations for automated sleep staging.
Language model over whole-night sleep stage sequences that corrects automated sleep staging and supplies features for sleep disorder diagnosis.
Multi-modal foundation model for sleep analysis, learning joint representations across brain, cardiac, and respiratory polysomnography signals.
Sleep staging model that segments polysomnography from any single EEG and EOG channel pair, labelling stages at resolutions finer than 30 s epochs.