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

Design and Usability of Clinical Software and EHRs (367) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1024) Development and Evaluation of Research Methods, Instruments and Tools (792) mHealth for Data Collection and Research (1245) Cardiovascular Disease Prevention (213) Cardiac Risk and Cardiac Risk Calculators (116)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71103, first published .
Collecting at-Home Biometric Measures for Longitudinal Research From the i3C: Feasibility and Acceptability Study

Collecting at-Home Biometric Measures for Longitudinal Research From the i3C: Feasibility and Acceptability Study

Collecting at-Home Biometric Measures for Longitudinal Research From the i3C: Feasibility and Acceptability Study

Authors of this article:

Marta Russell1, 2 Author Orcid Image ;   Erin Cain1, 2 Author Orcid Image ;   Lydia Bazzano3 Author Orcid Image ;   Ileana De Anda3 Author Orcid Image ;   Jessica G Woo2, 4 Author Orcid Image ;   Elaine M Urbina1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Chetboul V, Humbert E, Dougoud L, Lorre G. Resting heArt and respIratory rates in dogs in their natural environment: new insights from a long-term, international, prospective study in a COhort of 703 dogs using a biometric device for LongitudinaL non-invasive cARdiorespiratory monitoring (the AI-COLLAR study). Frontiers in Veterinary Science 2025;12 View
  2. Pinilla L, Sansom K, Letzelter P, Vakulin A, Montero A, Hudson A, Escourrou P, Pepin J, Adams R, Catcheside P, Lechat B, Eckert D. Multi night digital assessment of sleep disordered breathing is associated with accelerated vascular aging. npj Digital Medicine 2026 View