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

Mobile Apps for Cardiology (118) Mobile Health (mhealth) (2238) Wearable Devices and Sensors (706) mHealth for Wellness, Behavior Change and Prevention (2459) New Methods (756) Fitness Trackers and Smart Pedometers/Accelerometers (506) mHealth for Data Collection and Research (746) Digital Biomarkers and Digital Phenotyping (150) Novel Sensors and Data Acquisition Methods in Cardiology (166) Formative Evaluation of Digital Health Interventions (1742)

Published on in Vol 6 , No 2 (2022) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38570, first published .
Prediction of VO2max From Submaximal Exercise Using the Smartphone Application Myworkout GO: Validation Study of a Digital Health Method

Prediction of VO2max From Submaximal Exercise Using the Smartphone Application Myworkout GO: Validation Study of a Digital Health Method

Prediction of VO2max From Submaximal Exercise Using the Smartphone Application Myworkout GO: Validation Study of a Digital Health Method

Authors of this article:

Jan Helgerud 1, 2 Author Orcid Image ;   Håvard Haglo 1, 3 Author Orcid Image ;   Jan Hoff 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.