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

Mobile Apps for Cardiology (141) Mobile Health (mhealth) (2939) Wearable Devices and Sensors (888) mHealth for Wellness, Behavior Change and Prevention (2871) New Methods (944) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Data Collection and Research (955) Digital Biomarkers and Digital Phenotyping (191) Novel Sensors and Data Acquisition Methods in Cardiology (196) Formative Evaluation of Digital Health Interventions (2410)

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 Helgerud1, 2 Author Orcid Image ;   Håvard Haglo2, 3 Author Orcid Image ;   Jan Hoff2 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Jan Helgerud   1, 2 , PhD ;   Håvard Haglo   2, 3 , MSc ;   Jan Hoff   2 , PhD

1 Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway

2 Medical Rehabilitation Clinic, Myworkout, Trondheim, Norway

3 Faculty of Health and Social Sciences, Molde University College, Trondheim, Norway

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