Published March 28, 2025
| Version v1
Preprint
Open
ActiSleep Tracker: a Python-based dashboard for adjusting automatic sleep predictions of actigraphy data
Authors/Creators
-
Bianchini Esper, Nathalia
(Work package leader)1
-
Vos de Wael, Reinder
(Work package leader)1
- Hunt, Larissa (Research group)2
-
Vetter, Céline
(Research group)2
-
Leroux, Andrew
(Research group)3
-
Zipunnikov, Vadim
(Research group)4
- d'Antonio-Bertagnolli, John Vito (Research group)1
-
Freund, Michelle
(Research group)1
-
Merikangas, Kathleen
(Sponsor)2
-
Milham, Michael
(Sponsor)1
-
Kiar, Gregory
(Supervisor)1
-
Rosa Franco, Alexandre
(Supervisor)5, 1, 6
-
1.
Child Mind Institute
- 2. Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health
- 3. Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus
- 4. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
- 5. NYU Langone Health
-
6.
Nathan Kline Institute for Psychiatric Research
Description
ActiSleep Tracker is a Python-based dashboard that facilitates the manual refinement of automatically generated sleep annotations from wrist-worn accelerometer data produced by GGIR, a widely used open-source R package.
Files
ActiSleepTracker_manuscript.pdf
Files
(1.7 MB)
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Additional details
Funding
- National Institute of Mental Health
- The NKI Rockland Sample II: An Open Resource of Multimodal Brain, Physiology & Behavior Data from a Community Lifespan Sample R01MH124045
- National Institute of Mental Health
- Motor Activity Research Consortium for Health (mMarch) MH002954-02
Software
- Repository URL
- https://github.com/childmindresearch/actisleep-tracker
- Programming language
- Python
- Development Status
- Active