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

Formative Evaluation of Digital Health Interventions (2849) Tools, Programs and Algorithms (324) Digital Pain Assessment and Management (199) New Methods (1034)

Published on in Vol 6, No 6 (2022): June

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36687, first published .
Quantification of Digital Body Maps for Pain: Development and Application of an Algorithm for Generating Pain Frequency Maps

Quantification of Digital Body Maps for Pain: Development and Application of an Algorithm for Generating Pain Frequency Maps

Quantification of Digital Body Maps for Pain: Development and Application of an Algorithm for Generating Pain Frequency Maps

Authors of this article:

Abhishek Dixit1 Author Orcid Image ;   Michael Lee1 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Journals

  1. Cescon C, Landolfi G, Bonomi N, Derboni M, Giuffrida V, Rizzoli A, Maino P, Koetsier E, Barbero M. Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study. JMIR mHealth and uHealth 2024;12:e53119 View
  2. Eboigbe U, Lawan A, Rushton A, Walton D, Nik Ab. Rahman N. Types, method, and mode of implementation of pain/symptom maps in musculoskeletal pain rehabilitation: A scoping review protocol. PLOS ONE 2025;20(3):e0319498 View
  3. Ali S, Mountain D, Lee R, Murphy D, Chiarotto A, Wong D, Dixon W, van der Veer S. The current state of digital manikins to support pain self-reporting: a systematic literature review. PAIN Reports 2025;10(3):e1274 View
  4. Ali S, Elsayed S, Lee R, Firth J, McCarthy D, Dixon W, van der Veer S. Clinical utility of digital pain drawings captured by people living with musculoskeletal pain conditions: a qualitative study. British Journal of Pain 2025 View
  5. Murphy D, Ali S, Boudreau S, Dixon W, Wong D, van der Veer S. Summary and analysis methods for digital pain manikin data in adults with personal pain experience: a scoping review (Preprint). Journal of Medical Internet Research 2024 View