yang-ai-lab/SleepLM

SleepLM: Natural-Language Intelligence for Human Sleep

40
/ 100
Emerging

This helps sleep researchers and clinicians analyze polysomnography (PSG) data more effectively. You input 30-second segments of preprocessed PSG recordings, and it generates targeted natural language descriptions of brain, cardiac, respiration, and somatic activity. It also allows you to find similar sleep signals based on text descriptions or vice versa. This tool is for sleep scientists, neurophysiologists, and medical researchers working with sleep study data.

Use this if you need to automatically generate detailed, interpretable natural language descriptions from raw sleep study data or retrieve specific sleep recordings using text queries.

Not ideal if you need to train a new model from scratch or require access to the original training datasets, as this repository is focused on inference and evaluation.

sleep-medicine neurophysiology PSG-analysis medical-research biomedical-signal-processing
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 11 / 25
Community 12 / 25

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Stars

29

Forks

4

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 10, 2026

Commits (30d)

0

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