Published March 24, 2026
| Version v1
Dataset
Open
Quantifying Sleep Wake Rhythms in the Hospital Environment with Digital Technologies
Authors/Creators
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Skarke, Carsten1, 2
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El Jamal, Nadim1
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Genuardi, Michael2
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Brooks, Thomas1
- Mrčela, Antonijo1
- Lahens, Nicholas1
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Cordoza, Makayla3
- Sarles, Sean2
- Mbadugha, Amarachi1
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Karunamuni, Dineth2
- Gupta, Shikhar2
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Bae, Charles2
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Sehgal, Amita2, 4
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Cappola, Thomas2
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Gutsche, Jacob5
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Atluri, Pavan6, 7
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Desai, Nimesh6
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Acker, Michael6
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Grant, Gregory1, 8
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Schwab, Richard2, 9
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Rosen, Ilene2
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FitzGerald, Garret A.1, 2
- 1. Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- 2. Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- 3. School of Nursing, Vanderbilt University, Nashville, TN, USA
- 4. Chronobiology & Sleep Institute (CSI), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- 5. Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- 6. Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- 7. Department of Cardiac Surgery, Thomas Jefferson University, Philadelphia, PA, USA
- 8. Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- 9. Division of Sleep Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
Description
This page serves as a repository for the data and code used for the analyses in the paper titled: Quantifying Sleep Wake Rhythms in the Hospital Environment with Digital Technologies now published in npj Digital Medicine (https://www.nature.com/articles/s41746-026-02639-w)
Dates in the dataset have been shifted by random intervals for each patient maintaining seasonality and the time of day. The shifts are consistent for each patient across each dataset.
The html file named "Hospital Chronobiome Codebook" contains all the code used.
Files
axivity_processed_data.csv
Files
(59.5 MB)
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Additional details
Software
- Programming language
- R