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

Non-randomized Protocols and Methods (ehealth) (571) Telehealth and Telemonitoring (1710) Tools, Programs and Algorithms (272) Design and Formative Evaluation of Mobile Apps (700) Evaluation and Research Methodology for mHealth (209) mHealth for Data Collection and Research (974)

Published on in Vol 10, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14326, first published .
Developing the Accuracy of Vital Sign Measurements Using the Lifelight Software Application in Comparison to Standard of Care Methods: Observational Study Protocol

Developing the Accuracy of Vital Sign Measurements Using the Lifelight Software Application in Comparison to Standard of Care Methods: Observational Study Protocol

Developing the Accuracy of Vital Sign Measurements Using the Lifelight Software Application in Comparison to Standard of Care Methods: Observational Study Protocol

Authors of this article:

Thomas L Jones1 Author Orcid Image ;   Emily Heiden1 Author Orcid Image ;   Felicity Mitchell1 Author Orcid Image ;   Carole Fogg1 Author Orcid Image ;   Sharon McCready1 Author Orcid Image ;   Laurence Pearce2 Author Orcid Image ;   Melissa Kapoor3 Author Orcid Image ;   Paul Bassett4 Author Orcid Image ;   Anoop J Chauhan1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Heiden E, Jones T, Brogaard Maczka A, Kapoor M, Chauhan M, Wiffen L, Barham H, Holland J, Saxena M, Wegerif S, Brown T, Lomax M, Massey H, Rostami S, Pearce L, Chauhan A. Measurement of Vital Signs Using Lifelight Remote Photoplethysmography: Results of the VISION-D and VISION-V Observational Studies. JMIR Formative Research 2022;6(11):e36340 View
  2. Kiddle A, Barham H, Wegerif S, Petronzio C. Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study. JMIR Formative Research 2023;7:e44575 View