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

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
6. Eleftheriadou A, Spallone V, Tahrani A, Alam U. Cardiovascular autonomic neuropathy in diabetes: an update with a focus on management. Diabetologia 2024;67(12):2611 View
7. Arnold V, Young S. The Potential of Wearable Sensors for Detecting Cognitive Rumination: A Scoping Review. Sensors 2025;25(3):654 View
8. Du Z, Zhang F, Ge Y, Liu Y, Yu H, Wang Y, Dalan R, Shen X. Application of Wearable Devices in Diabetes Management. Health and Metabolism 2025:7 View
9. Verma G, Gupta A. Next‐Generation Chemiresistive Wearable Breath Sensors for Non‐Invasive Healthcare Monitoring: Advances in Composite and Hybrid Materials. Small 2025;21(13) View
10. Mohamed Y, Mancera J, Brandenberg A, Fischli S, Havranek M, Hamasaki H. Personalized machine learning models for noninvasive hypoglycemia detection in people with type 1 diabetes using a smartwatch: Insights into feature importance during waking and sleeping times. PLOS One 2025;20(6):e0325956 View
11. Piersanti A, Littero M, Del Giudice L, Marcantoni I, Burattini L, Tura A, Morettini M. Variability of the Skin Temperature from Wrist-Worn Device for Definition of Novel Digital Biomarkers of Glycemia. Sensors 2025;25(13):4038 View
12. Faizan M, Han C, Lee S. Policy-Driven Digital Health Interventions for Health Promotion and Disease Prevention: A Systematic Review of Clinical and Environmental Outcomes. Healthcare 2025;13(18):2319 View
13. Srivastava S, Shukla S, Singh N, Tiwari P, Mishra R, Srivastava V, Mishra M, Singh S, Sharma V. Artificial Intelligence and Machine Learning Driven Multiplex Programmable Modelling for Refractive Index Based Surface Plasmon Resonance Sensor. International Journal of Innovative Science and Research Technology 2025:2551 View
14. Quamer W, Tseng M, Vyas K, Dave D, Villegas C, McKay S, DeSalvo D, Erranguntla M, Cote G, Gutierrez-Osuna R. A multimodal physiological dataset for non-invasive blood glucose estimation. Scientific Data 2025;12(1) View
15. Krishnamoorthy U. Non-invasive biochemical sensing with AI-driven analytics: a comprehensive review of technologies, applications, and future directions. Analytical Methods 2025 View

Conference Proceedings

1. Glumčević S, Mašetić Z, Viteškić B. 2023 46th MIPRO ICT and Electronics Convention (MIPRO). Closed-loop Artificial Pancreas Development: A Review View