This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (318) Cardiology (230) Cardiac Risk and Cardiac Risk Calculators (110) Artificial Intelligence in Surgery and Perioperative Medicine (44) Evaluation and Research Methodology for mHealth (247)

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

Authors of this article:

Alexios Dosis1, 2 Author Orcid Image ;   Aron Berger Syversen3 Author Orcid Image ;   Mikolaj R Kowal1, 2 Author Orcid Image ;   Daniel Grant4 Author Orcid Image ;   Jim Tiernan2 Author Orcid Image ;   David Wong5 Author Orcid Image ;   David G Jayne1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .