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

Formative Evaluation of Digital Health Interventions (2823) Mobile Health (mhealth) (3158) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (916) Research Instruments, Questionnaires, and Tools (665) Development and Evaluation of Research Methods, Instruments and Tools (632) mHealth for Data Collection and Research (1082)

Published on in Vol 8 (2024)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54194, first published .
Measurement of Head Circumference Using a Smartphone: Feasibility Cohort Study

Measurement of Head Circumference Using a Smartphone: Feasibility Cohort Study

Measurement of Head Circumference Using a Smartphone: Feasibility Cohort Study

Authors of this article:

Stefan Yordanov1 Author Orcid Image ;   Kalsoom Akhter1 Author Orcid Image ;   Jye Quan Teh1 Author Orcid Image ;   Jawad Naushahi1 Author Orcid Image ;   Ibrahim Jalloh1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Chua M, Hadimaja M, Wong J, Mukherjee S, Foussat A, Chan D, Nandal U, Yap F. Exploring the Use of a Length AI Algorithm to Estimate Children’s Length from Smartphone Images in a Real-World Setting: Algorithm Development and Usability Study. JMIR Pediatrics and Parenting 2024;7:e59564 View
  2. Win K, Kawasue K, Kaneko M. Three-Dimensional Imaging Sensor-Based Non-Contact Measurement of Neonatal Head Circumference in Incubators. Sensors 2025;25(6):1869 View
  3. Encarnação I, Cerqueira M, Almeida P, Oliveira C, Silva A, Silva D, Heymsfield S, Moreira O. Comparing digital anthropometrics from mobile applications to reference methods: a scoping review. European Journal of Clinical Nutrition 2025 View