OpenMHC releases 60 million hours of wearable health data for foundation models
iScienceLuvr · x · 2026-07-21
Researchers released OpenMyHeartCounts (OpenMHC), described as the largest and most comprehensive open-access wearable health dataset to date.
- The dataset contains more than 60 million hours of wearable data.
- It spans 19 sensor channels, including step count, heart rate, sleep, and workouts.
- It includes up to 169 linked variables covering health, lifestyle, mood, and behavior.
- The data comes from 11,894 consenting participants.
- The paper also introduces a unified open benchmark for comparing wearable health models across downstream prediction, multivariate imputation, and time-series forecasting.
- The goal is to standardize evaluation and accelerate open research in wearable foundation models.
Related event: OpenMHC Releases 60M-Hour Wearable Health Dataset(2 posts)→
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