Published on in Vol 14 (2026)

This is a member publication of University of Leeds (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69996, first published .
Exploiting Unsupervised Free-Living Data for Cardiorespiratory Fitness Estimation: Systematic Review and Meta-Analysis

Exploiting Unsupervised Free-Living Data for Cardiorespiratory Fitness Estimation: Systematic Review and Meta-Analysis

Exploiting Unsupervised Free-Living Data for Cardiorespiratory Fitness Estimation: Systematic Review and Meta-Analysis

Alexios Dosis   1, 2 , MSc, MD ;   Aron Berger Syversen   3 , BSc, MSc ;   Mikolaj R Kowal   1, 2 , MBChB, PgDIP ;   Daniel Grant   4 , BSc ;   Jim Tiernan   2 , MBBS, PhD ;   David Wong   5 , MEng, DPhil ;   David G Jayne   1, 2 , BSc, MBBCHIR, MD

1 Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom

2 Abdominal Medicine and Surgery, Leeds Teaching Hospitals, Leeds, United Kingdom

3 School of Computing, University of Leeds, Leeds, England, United Kingdom

4 Cardiorespiratory Department, Leeds Teaching Hospitals, Leeds, United Kingdom

5 5 Leeds Institute of Health Sciences, University of Leeds, Leeds, England, United Kingdom

Corresponding Author:

  • Alexios Dosis, MSc, MD
  • Leeds Institute of Medical Research, University of Leeds
  • Clinical Sciences Building, St James's University Hospital, Beckett Street
  • Leeds LS97LN
  • United Kingdom
  • Phone: 44 07754226212
  • Email: a.dosis@leeds.ac.uk