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

Formative Evaluation of Digital Health Interventions (2491) Design and Usability of Medical Devices (103) Glucose Tracking and Self-Monitoring of Blood Glucose (166)

Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38664, first published .
Development of a Noninvasive Blood Glucose Monitoring System Prototype: Pilot Study

Development of a Noninvasive Blood Glucose Monitoring System Prototype: Pilot Study

Development of a Noninvasive Blood Glucose Monitoring System Prototype: Pilot Study

Authors of this article:

Maria Valero1 Author Orcid Image ;   Priyanka Pola1 Author Orcid Image ;   Oluwaseyi Falaiye2 Author Orcid Image ;   Katherine H Ingram3 Author Orcid Image ;   Liang Zhao1 Author Orcid Image ;   Hossain Shahriar1 Author Orcid Image ;   Sheikh Iqbal Ahamed4 Author Orcid Image
Article Authors Cited by (10) Tweetations (12) Metrics

Journals

  1. Mondal H, Biri S, Pipil N, Mondal S. Accuracy of a Non-Invasive Home Glucose Monitor for Measurement of Blood Glucose. Indian Journal of Endocrinology and Metabolism 2024;28(1):60 View
  2. Diez Alvarez S, Fellas A, Wynne K, Santos D, Sculley D, Acharya S, Navathe P, Gironès X, Coda A. The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review. JMIR mHealth and uHealth 2024;12:e54826 View
  3. Chan P, Jin E, Jansson M, Chew H. AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review. Journal of Medical Internet Research 2024;26:e58892 View

Books/Policy Documents

  1. Valero M, Ingram K, Duong A, Nino V. Pervasive Computing Technologies for Healthcare. View
  2. Kazi T, Oakley J, Duong A, Belfasi E, Ingram K, Valero M. Artificial Intelligence in Medicine. View
  3. Lohia H, Singhal R, Bhardwaj S, Agarwal D, Virmani D. Innovative Computing and Communications. View