Paperdoi:10.1038/s41598-018-31266-z
Estimating sleep parameters using an accelerometer without sleep diary
Scientific Reports 2018;8:12975 (published 2018-08-28)
TL;DR
Introduces HDCZA, a heuristic for detecting the sleep-period time window from raw wrist accelerometer z-angle variance without a sleep diary. Validated vs diary (Whitehall II, n=3752) and vs PSG (clinic n=28, healthy n=22). Motivated by UK Biobank–scale studies lacking diaries.
- Form factor: wrist
Abstract
Wrist worn raw-data accelerometers are used increasingly in large-scale population research. We examined whether sleep parameters can be estimated from these data in the absence of sleep diaries. Our heuristic algorithm uses the variance in estimated z-axis angle and makes basic assumptions about sleep interruptions. Detected sleep period time window (SPT-window) was compared against sleep diary in 3752 participants (range = 60–82 years) and polysomnography in sleep clinic patients (N = 28) and in healthy good sleepers (N = 22). The SPT-window derived from the algorithm was 10.9 and 2.9 minutes longer compared with sleep diary in men and women, respectively. Mean C-statistic to detect the SPT-window compared to polysomnography was 0.86 and 0.83 in clinic-based and healthy sleepers, respectively. We demonstrated the accuracy of our algorithm to detect the SPT-window. The value of this algorithm lies in studies such as UK Biobank where a sleep diary was not used.
Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: https://creativecommons.org/licenses/by/4.0
Results on ChatPPG leaderboards · 1
All leaderboards| Leaderboard | Method | Result | Rank |
|---|---|---|---|
| whitehall-ii-diary otherSleep/wake detection (actigraphy-style) | HDCZA | 0.86other, higher is better | #1 of 1 |
1 row is credited to this paper. Ranks apply within each leaderboard only, as reported by the source.
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Cite this paper
van Hees, V. T., et al. (2018). Estimating sleep parameters using an accelerometer without sleep diary. Scientific Reports 2018, 8, 12975. https://doi.org/10.1038/s41598-018-31266-z
van Hees, Vincent T., et al. 2018. "Estimating sleep parameters using an accelerometer without sleep diary." Scientific Reports 2018 8: 12975. https://doi.org/10.1038/s41598-018-31266-z.
van Hees, V. T. et al. (2018) 'Estimating sleep parameters using an accelerometer without sleep diary', Scientific Reports 2018, 8, p. 12975. doi: 10.1038/s41598-018-31266-z.
van Hees, Vincent T., et al. "Estimating sleep parameters using an accelerometer without sleep diary." Scientific Reports 2018, vol. 8, 2018, p. 12975. https://doi.org/10.1038/s41598-018-31266-z.
V. T. van Hees et al., "Estimating sleep parameters using an accelerometer without sleep diary," Scientific Reports 2018, vol. 8, p. 12975, 2018, doi: 10.1038/s41598-018-31266-z.
@article{hees2018estimating,
title = {{Estimating sleep parameters using an accelerometer without sleep diary}},
author = {van Hees, Vincent T. and others},
year = {2018},
journal = {Scientific Reports 2018},
volume = {8},
pages = {12975},
doi = {10.1038/s41598-018-31266-z}
}Added to the ChatPPG research hub
