Published on in Vol 9 , No 6 (2021) :June

Preprints (earlier versions) of this paper are available at, first published .
Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review

Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review

Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review


  1. Chow D, Iqbal Z, Tremblay L, Lam C, Zhao R. Cross-Leg Prediction of Running Kinematics across Various Running Conditions and Drawing from a Minimal Data Set Using a Single Wearable Sensor. Symmetry 2022;14(6):1092 View
  2. Patil V, Singhal D, Naik N, Hameed B, Shah M, Ibrahim S, Smriti K, Chatterjee G, Kale A, Sharma A, Paul R, Chłosta P, Somani B. Factors Affecting the Usage of Wearable Device Technology for Healthcare among Indian Adults: A Cross-Sectional Study. Journal of Clinical Medicine 2022;11(23):7019 View
  3. Ahmed A, Aziz S, Abd-alrazaq A, Farooq F, Sheikh J. Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review. Journal of Medical Internet Research 2022;24(8):e36010 View
  4. Kim E, Conrow L, Röcke C, Chaix B, Weibel R, Perchoux C. Advances and challenges in sensor-based research in mobility, health, and place. Health & Place 2023;79:102972 View
  5. Wang Y, Xu X, Hajra A, Apple S, Kharawala A, Duarte G, Liaqat W, Fu Y, Li W, Chen Y, Faillace R. Current Advancement in Diagnosing Atrial Fibrillation by Utilizing Wearable Devices and Artificial Intelligence: A Review Study. Diagnostics 2022;12(3):689 View
  6. Mitek A, Jones D, Newell A, Vitale S. Wearable Devices in Veterinary Health Care. Veterinary Clinics of North America: Small Animal Practice 2022;52(5):1087 View
  7. Litchfield I, Barrett T, Hamilton‐Shield J, Moore T, Narendran P, Redwood S, Searle A, Uday S, Wheeler J, Greenfield S. Developments in the design and delivery of self‐management support for children and young people with diabetes: A narrative synthesis of systematic reviews. Diabetic Medicine 2023;40(4) View
  8. Ghosh P, Chakraborty A, Hasan M, Rashid K, Siddique A. Blockchain Application in Healthcare Systems: A Review. Systems 2023;11(1):38 View
  9. Gao Z, Liu W, McDonough D, Zeng N, Lee J. The Dilemma of Analyzing Physical Activity and Sedentary Behavior with Wrist Accelerometer Data: Challenges and Opportunities. Journal of Clinical Medicine 2021;10(24):5951 View
  10. Peng P, Zhang N, Huang J, Jiao X, Shen Y. Effectiveness of Wearable Activity Monitors on Metabolic Outcomes in Patients With Type 2 Diabetes: A Systematic Review and Meta-Analysis. Endocrine Practice 2023;29(5):368 View
  11. Ortet C, Vale Costa L. “Listen to Your Immune System When It’s Calling for You”: Monitoring Autoimmune Diseases Using the iShU App. Sensors 2022;22(10):3834 View
  12. Cui M, Zhao D, Wang H, Zhu Y, Wang Z, Asghar M. Effects of Incontro, Alleanza, Responsabilita, Autonomia Intervention Model Combined with Orem Self-Care Model and the Use of Smart Wearable Devices on Perceived Stress and Self-Efficacy in Patients after Total Hip Arthroplasty. Computational Intelligence and Neuroscience 2022;2022:1 View
  13. Cimolin V, Vismara L, Ferraris C, Amprimo G, Pettiti G, Lopez R, Galli M, Cremascoli R, Sinagra S, Mauro A, Priano L. Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems. Sensors 2022;22(3):824 View
  14. Agarwal A, Graft J, Schroeder N, Romine W. Sensor-Based Prediction of Mental Effort during Learning from Physiological Data: A Longitudinal Case Study. Signals 2021;2(4):886 View
  15. Makroum M, Adda M, Bouzouane A, Ibrahim H. Machine Learning and Smart Devices for Diabetes Management: Systematic Review. Sensors 2022;22(5):1843 View
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Books/Policy Documents

  1. Rodriguez-Leon C, Arevalo W, Banos O, Villalonga C. Advances in Computational Intelligence. View