SleepFM Inference Platform

AI-powered sleep analysis using the SleepFM foundation model. Analyze polysomnography data for sleep staging and disease risk prediction.

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Sleep Stage Classification
Automatically classify sleep stages (Wake, N1, N2, N3, REM) throughout your recording with high accuracy
  • Epoch-by-epoch classification
  • Visual timeline and distribution charts
  • Detailed sleep architecture analysis
Disease Risk Prediction
Predict risk scores for 130+ health conditions based on sleep patterns using advanced AI models
  • Cardiovascular disease risk
  • Neurological condition prediction
  • Comprehensive risk categorization

How It Works

1. Upload Data

Upload your polysomnography recording in EDF or HDF5 format

2. AI Analysis

SleepFM model processes your data using advanced deep learning

3. View Results

Get detailed visualizations and insights from your sleep data

About SleepFM

SleepFM is a multimodal sleep foundation model trained on over 585,000 hours of polysomnography recordings from approximately 65,000 participants. Published in Nature Medicine (2025), it represents a breakthrough in sleep analysis and disease prediction.

The model achieves exceptional performance with C-Index scores of 0.84 for all-cause mortality, 0.85 for dementia, and 0.81 for myocardial infarction, among 130+ conditions.

Privacy & Security

All data is encrypted and securely stored. Your sleep recordings are processed with the highest standards of data protection and privacy.

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