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

Wearables and MHealth Reviews (257) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1301) Wearable Devices and Sensors (811) Diabetes Self-Management (462) Glucose Tracking and Self-Monitoring of Blood Glucose (150) Apps, Mobile, Wearables for Diabetes (288) Telehealth and Telemonitoring (1556) Diabetes Reviews and Scoping Studies (29) Telemedicine for Diabetes (84)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25138, 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

Authors of this article:

Ciro Rodriguez-León1, 2 Author Orcid Image ;   Claudia Villalonga1 Author Orcid Image ;   Manuel Munoz-Torres3, 4, 5 Author Orcid Image ;   Jonatan R Ruiz6 Author Orcid Image ;   Oresti Banos1 Author Orcid Image
Article Authors Cited by (43) Tweetations (11) Metrics

Journals

  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
  16. Zhang M, Wang W, Li M, Sheng H, Zhai Y. Efficacy of Mobile Health Applications to Improve Physical Activity and Sedentary Behavior: A Systematic Review and Meta-Analysis for Physically Inactive Individuals. International Journal of Environmental Research and Public Health 2022;19(8):4905 View
  17. Xie Y, Lu L, Gao F, He S, Zhao H, Fang Y, Yang J, An Y, Ye Z, Dong Z. Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare. Current Medical Science 2021;41(6):1123 View
  18. Ahmed A, Aziz S, Abd-alrazaq A, Farooq F, Househ M, Sheikh J. The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review. Journal of Medical Internet Research 2023;25:e40259 View
  19. Amugongo L, Kriebitz A, Boch A, Lütge C. Operationalising AI ethics through the agile software development lifecycle: a case study of AI-enabled mobile health applications. AI and Ethics 2023 View
  20. Leon C, Hogan H, Jani Y. Identifying and mapping measures of medication safety during transfer of care in a digital era: a scoping literature review. BMJ Quality & Safety 2023:bmjqs-2022-015859 View
  21. Hasasneh A, Hijazi H, Talib M, Afadar Y, Nassif A, Nasir Q. Wearable Devices and Explainable Unsupervised Learning for COVID-19 Detection and Monitoring. Diagnostics 2023;13(19):3071 View
  22. Seng J, Gwee M, Yong M, Kwan Y, Thumboo J, Low L. Role of Caregivers in Remote Management of Patients With Type 2 Diabetes Mellitus: Systematic Review of Literature. Journal of Medical Internet Research 2023;25:e46988 View
  23. Tuell D, Los E, Ford G, Stone W. The Role of Natural Antioxidant Products That Optimize Redox Status in the Prevention and Management of Type 2 Diabetes. Antioxidants 2023;12(6):1139 View
  24. Schroeder N, Romine W, Kemp S. A scoping review of wrist-worn wearables in education. Computers and Education Open 2023;5:100154 View
  25. Talha M, Kyrarini M, Buriro E. A Survey of the Diagnosis of Peripheral Neuropathy Using Intelligent and Wearable Systems. Technologies 2023;11(6):163 View
  26. Bagheri R, Alikhani S, Miri-Moghaddam E. Fabrication of conductive Ag/AgCl/Ag nanorods ink on Laser-induced graphene electrodes on flexible substrates for non-enzymatic glucose detection. Scientific Reports 2023;13(1) View
  27. Rodriguez-Leon C, Aviles-Perez M, Banos O, Quesada-Charneco M, Lopez-Ibarra Lozano P, Villalonga C, Munoz-Torres M. T1DiabetesGranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus. Scientific Data 2023;10(1) View
  28. Jaiswal S, Pawelek J, Warshawsky S, Quer G, Trieu M, Pandit J, Owens R. Using New Technologies and Wearables for Characterizing Sleep in Population-based Studies. Current Sleep Medicine Reports 2024;10(1):82 View
  29. ALTINTAŞ BAŞAR H, BİLİCİ S. Does Technology Affect Nutrition Education Perspectives?. Artuklu International Journal of Health Sciences 2023;3(3):335 View
  30. Alexiadis A, Tsanas A, Shtika L, Efopoulos V, Votis K, Tzovaras D, Triantafyllidis A. Next-Day Prediction of Hypoglycaemic Episodes Based on the Use of a Mobile App for Diabetes Self-Management. IEEE Access 2024;12:7469 View
  31. Shah V, Carlson-Kuhta P, Mancini M, Sowalsky K, Horak F. Digital gait measures, but not the 400-meter walk time, detect abnormal gait characteristics in people with Prediabetes. Gait & Posture 2024;109:84 View
  32. Hines A, Jones L, Pizzetta C, Berhie G, Cecchetti A, Ikem F, Azevedo M, Davidson E, White M, Malone S. The Use of Wearable Devices as a Self-Help Approach to Wellness Promotion, Overcoming Health Disparities and Reducing Medical Distrust Among African Americans. Journal of Public Health Issues and Practices 2023;7(2) View
  33. Alsulami S, Konstantinidis S, Wharrad H. Use of wearables among Multiple Sclerosis patients and healthcare Professionals: A scoping review. International Journal of Medical Informatics 2024;184:105376 View
  34. Osunde R, Olorunfemi O. Knowledge, practice, and challenges of diabetes foot care among patients at the University of Benin Teaching Hospital, Benin City: A cross-sectional study. AYU (An International Quarterly Journal of Research in Ayurveda) 2023;44(1):1 View
  35. Ip M, Chan K. Inference in Coarsened Time Series via Generalized Method of Moments. Journal of Time Series Analysis 2024 View
  36. Zhang S, Zhu S, Zou X, Yu Y, Piccaluga P, Xie S. An Optimized Update Method for Atrial Fibrillation Detection for Wearable Devices. BIO Web of Conferences 2024;111:03009 View
  37. Jannoud I, Masoud M, Jaradat Y, Manaserah A, Zaidan D. A Multi-Layered Hybrid Machine Learning Algorithm (MLHA) for Type II Diabetes Classification. Procedia Computer Science 2024;237:445 View

Books/Policy Documents

  1. Rodriguez-Leon C, Arevalo W, Banos O, Villalonga C. Advances in Computational Intelligence. View
  2. Ruiz J, Guerrero J, Cruz C, Jimenez D, Lama J, Espinilla M. Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). View
  3. Cisuelo O, Haleem M, Hattersley J, Pecchia L. MEDICON’23 and CMBEBIH’23. View
  4. Sharma A, Bijo K, Manandhar S, Sharma L. Human-Computer Interaction. View