health life sciences medicine
This project contains acceleration (in units of g) and heart rate (bpm, measured from photoplethysmography) recorded from the Apple Watch, as well as labeled sleep scored from gold-standard polysomnography. Data were collected at the University of Michigan from June 2017 to March 2019, and there are 31 subjects in total. Code to read and process these files is available on GitHub. The paper corresponding to the work is Walch et al., "Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device", SLEEP (2019).
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Open Data Commons Attribution License v1.0
https://doi.org/10.13026/hmhs-py35
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Motion and heart rate from a wrist-worn wearable and labeled sleep from polysomnography was accessed on DATE from https://registry.opendata.aws/sleep-accel.
arn:aws:s3:::physionet-open/sleep-accel/us-east-1aws s3 ls --no-sign-request s3://physionet-open/sleep-accel/