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

Digital Health Reviews (1186) Wearable Devices and Sensors (818) Diabetes Self-Management (463) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309)

Published on in Vol 24, No 4 (2022): April

The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey

The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey

The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey

Authors of this article:

Elena Daskalaki1 Author Orcid Image ;   Anne Parkinson2 Author Orcid Image ;   Nicola Brew-Sam2 Author Orcid Image ;   Md Zakir Hossain1, 3, 4 Author Orcid Image ;   David O'Neal5, 6 Author Orcid Image ;   Christopher J Nolan7, 8 Author Orcid Image ;   Hanna Suominen1, 9, 10 Author Orcid Image
Article Authors Cited by (6) Tweetations (6) Metrics

Journals

  1. Mondal H, Ahmed K, Birbilis N, Hossain M. Machine learning for detecting DNA attachment on SPR biosensor. Scientific Reports 2023;13(1) View
  2. Litvinova O, Eitenberger M, Bilir A, Yeung A, Parvanov E, MohanaSundaram A, Horbańczuk J, Atanasov A, Willschke H. Patent analysis of digital sensors for continuous glucose monitoring. Frontiers in Public Health 2023;11 View
  3. Rai B, van Kleef J, Sabeti F, Vlieger R, Suominen H, Maddess T. Early diabetic eye damage: Comparing detection methods using diagnostic power. Survey of Ophthalmology 2024;69(1):24 View
  4. Zimmer R, Auth A, Schierbauer J, Haupt S, Wachsmuth N, Zimmermann P, Voit T, Battelino T, Sourij H, Moser O. (Hybrid) Closed-Loop Systems: From Announced to Unannounced Exercise. Diabetes Technology & Therapeutics 2023 View
  5. Patton S, Gal R, Bergford S, Calhoun P, Clements M, Sherr J, Riddell M. Digital Gaming and Exercise Among Youth With Type 1 Diabetes: Cross-Sectional Analysis of Data From the Type 1 Diabetes Exercise Initiative Pediatric Study. JMIR Pediatrics and Parenting 2024;7:e57198 View