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

Non-Randomized Study Protocols and Methods (Non-eHealth) (683) Design and Usability of Clinical Software and EHRs (348)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41533, first published .
Measurement of Vital Signs by Lifelight Software in Comparison to Standard of Care Multisite Development (VISION-MD): Protocol for an Observational Study

Measurement of Vital Signs by Lifelight Software in Comparison to Standard of Care Multisite Development (VISION-MD): Protocol for an Observational Study

Measurement of Vital Signs by Lifelight Software in Comparison to Standard of Care Multisite Development (VISION-MD): Protocol for an Observational Study

Authors of this article:

Laura Wiffen1 Author Orcid Image ;   Thomas Brown1 Author Orcid Image ;   Annika Brogaard Maczka2 Author Orcid Image ;   Melissa Kapoor2 Author Orcid Image ;   Laurence Pearce3 Author Orcid Image ;   Milan Chauhan1 Author Orcid Image ;   Anoop J Chauhan1, 4 Author Orcid Image ;   Manish Saxena5 Author Orcid Image ;   Lifelight Trials Group6
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. 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
  2. D'Auria D, Russo R, Fedele A, Addabbo F, Calvanese D. An intelligent telemonitoring application for coronavirus patients: reCOVeryaID. Frontiers in Big Data 2023;6 View
  3. van Putten L, Bamford K, Veleslavov I, Wegerif S. From video to vital signs: using personal device cameras to measure pulse rate and predict blood pressure using explainable AI. Discover Applied Sciences 2024;6(4) View
  4. Saikevičius L, Raudonis V, Dervinis G, Baranauskas V. Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review. Sensors 2024;24(12):3963 View
  5. D'Auria D, Bettini F, Tognarelli S, Calvanese D, Menciassi A. Technologies and main functionalities of the telemonitoring application reCOVeryaID. Frontiers in Big Data 2024;7 View
  6. Misra G, Wegerif S, Fairlie L, Kapoor M, Fok J, Salt G, Halbert J, Maconochie I, Mullen N. The Measurement of Vital Signs in Pediatric Patients by Lifelight Software in Comparison to the Standard of Care: Protocol for the VISION-Junior Observational Study. JMIR Research Protocols 2025;14:e58334 View
  7. van Putten L, Mathieu A, Wegerif S. Automated Signal Quality Assessment for rPPG: A Pulse-by-Pulse Scoring Method Designed Using Human Labelling. Applied Sciences 2025;15(20):10915 View
  8. van Putten L, Ahmed A, Wegerif S. Remote photoplethysmography for contactless pulse rate monitoring: algorithm development and accuracy assessment. Physiological Measurement 2025;46(11):115004 View

Conference Proceedings

  1. van Putten L, Bamford K. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Improving Systolic Blood Pressure Prediction from Remote Photoplethysmography Using a Stacked Ensemble Regressor View
  2. Persia F, D’Auria D. 2023 IEEE International Symposium on Multimedia (ISM). Complex Event Processing in Heterogeneous Domains View
  3. Wegerif S, Veleslavov I, van Putten L, Bamford K, Misra G, Mullen N. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Paediatric Pulse Rate Measurements: a Comparison of Methods using Remote Photoplethysmography View
  4. Susi A, Akila V, Govindasamy V. 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE). Examination of Signal-to-Noise Ratio in Remote Photoplethysmography Signal Extraction for Video Authenticity Detection View