Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71718, first published .
Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study

Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study

Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudinal Study

Hiral Master   1 * , PT, MPH, PhD ;   Jeffrey Annis   1 * , PhD ;   Jack H Ching   2 * , PhD ;   Karla Gleichauf   2 , PhD ;   Lide Han   1 , PhD ;   Peyton Coleman   1 , BS ;   Kelsie M Full   1 , PhD ;   Neil Zheng   3 , MD ;   Douglas Ruderfer   1 , PhD ;   John Hernandez   2 , PhD ;   Logan D Schneider   2 , MD ;   Evan L Brittain   1 , MSCI, MD

1 Vanderbilt University Medical Center, Nashville, TN, United States

2 Google, Mountain View, CA, United States

3 Brigham and Women's Hospital, Boston, MA, United States

*these authors contributed equally

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