Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46149, first published .
Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data

Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data

Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data

Loubna Baroudi   1 , MSc ;   Ronald Fredrick Zernicke   2, 3 , MSc, ND, PhD ;   Muneesh Tewari   4, 5, 6, 7 , PhD ;   Noelle E Carlozzi   8 , PhD ;   Sung Won Choi   9 , MSc, MD ;   Stephen M Cain   10 , PhD

1 Department of Mechanical Engineering, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

2 Department of Orthopedic Surgery, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

3 Exercise & Sport Science Initiative, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

4 Center for Computational Medicine and Bioinformatics, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

5 Department of Internal Medicine, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

6 Department of Biomedical Engineering, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

7 Veterans Administration Ann Arbor Healthcare System, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

8 Department of Physical Medicine and Rehabilitation, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

9 Department of Pediatrics, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

10 Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, United States

Corresponding Author:

  • Loubna Baroudi, MSc
  • Department of Mechanical Engineering
  • University of Michigan–Ann Arbor
  • 2505 Hayward St
  • Ann Arbor, MI, 48109
  • United States
  • Phone: 1 7342626353
  • Email: lbaroudi@umich.edu