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Ali Cinar to Blood Glucose

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This is a "connection" page, showing publications Ali Cinar has written about Blood Glucose.
Ali Cinar
Connection Strength
7.154
Blood Glucose
  1. Sleep quality and glycaemic variability in a real-life setting in adults with type 1 diabetes. Diabetologia. 2021 10; 64(10):2159-2169.
    View in: PubMed
    Score: 0.592
  2. Controlling the AP Controller: Controller Performance Assessment and Modification. J Diabetes Sci Technol. 2019 11; 13(6):1091-1104.
    View in: PubMed
    Score: 0.525
  3. Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes. J Diabetes Sci Technol. 2019 07; 13(4):718-727.
    View in: PubMed
    Score: 0.501
  4. Automatic Detection and Estimation of Unannounced Meals for Multivariable Artificial Pancreas System. Diabetes Technol Ther. 2018 03; 20(3):235-246.
    View in: PubMed
    Score: 0.469
  5. Meal Detection and Carbohydrate Estimation Using Continuous Glucose Sensor Data. IEEE J Biomed Health Inform. 2017 05; 21(3):619-627.
    View in: PubMed
    Score: 0.440
  6. Hypoglycemia Detection and Carbohydrate Suggestion in an Artificial Pancreas. J Diabetes Sci Technol. 2016 11; 10(6):1236-1244.
    View in: PubMed
    Score: 0.430
  7. Real-Time Model-Based Fault Detection of Continuous Glucose Sensor Measurements. IEEE Trans Biomed Eng. 2017 07; 64(7):1437-1445.
    View in: PubMed
    Score: 0.410
  8. Classification of Physical Activity: Information to Artificial Pancreas Control Systems in Real Time. J Diabetes Sci Technol. 2015 Oct 06; 9(6):1200-7.
    View in: PubMed
    Score: 0.399
  9. Meal Detection in Patients With Type 1 Diabetes: A New Module for the Multivariable Adaptive Artificial Pancreas Control System. IEEE J Biomed Health Inform. 2016 Jan; 20(1):47-54.
    View in: PubMed
    Score: 0.390
  10. An integrated multivariable artificial pancreas control system. J Diabetes Sci Technol. 2014 May; 8(3):498-507.
    View in: PubMed
    Score: 0.359
  11. Multivariable adaptive closed-loop control of an artificial pancreas without meal and activity announcement. Diabetes Technol Ther. 2013 May; 15(5):386-400.
    View in: PubMed
    Score: 0.335
  12. Multivariable Automated Insulin Delivery System for Handling Planned and Spontaneous Physical Activities. J Diabetes Sci Technol. 2023 11; 17(6):1456-1469.
    View in: PubMed
    Score: 0.174
  13. A physical activity-intensity driven glycemic model for type 1 diabetes. Comput Methods Programs Biomed. 2022 Nov; 226:107153.
    View in: PubMed
    Score: 0.162
  14. Detection of Meals and Physical Activity Events From Free-Living Data of People With Diabetes. J Diabetes Sci Technol. 2023 11; 17(6):1482-1492.
    View in: PubMed
    Score: 0.158
  15. Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems. J Diabetes Sci Technol. 2022 Jan; 16(1):19-28.
    View in: PubMed
    Score: 0.153
  16. Physical Activity and Psychological Stress Detection and Assessment of Their Effects on Glucose Concentration Predictions in Diabetes Management. IEEE Trans Biomed Eng. 2021 07; 68(7):2251-2260.
    View in: PubMed
    Score: 0.148
  17. Seasonal Local Models for Glucose Prediction in Type 1 Diabetes. IEEE J Biomed Health Inform. 2020 07; 24(7):2064-2072.
    View in: PubMed
    Score: 0.133
  18. No Disadvantage to Insulin Pump Off vs Pump On During Intermittent High-Intensity Exercise in Adults With Type 1 Diabetes. Can J Diabetes. 2020 Mar; 44(2):162-168.
    View in: PubMed
    Score: 0.129
  19. Multivariable Artificial Pancreas for Various Exercise Types and Intensities. Diabetes Technol Ther. 2018 10; 20(10):662-671.
    View in: PubMed
    Score: 0.122
  20. Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems. J Diabetes Sci Technol. 2018 09; 12(5):953-966.
    View in: PubMed
    Score: 0.121
  21. Considering Plasma Insulin Concentrations in Adaptive Model Predictive Control for Artificial Pancreas Systems. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:4452-4455.
    View in: PubMed
    Score: 0.120
  22. Adaptive and Personalized Plasma Insulin Concentration Estimation for Artificial Pancreas Systems. J Diabetes Sci Technol. 2018 05; 12(3):639-649.
    View in: PubMed
    Score: 0.118
  23. Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes. Curr Diab Rep. 2017 08 15; 17(10):88.
    View in: PubMed
    Score: 0.113
  24. Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System. Sensors (Basel). 2017 Mar 07; 17(3).
    View in: PubMed
    Score: 0.110
  25. Exercise and the Development of the Artificial Pancreas: One of the More Difficult Series of Hurdles. J Diabetes Sci Technol. 2015 Oct 01; 9(6):1217-26.
    View in: PubMed
    Score: 0.100
  26. Multivariable adaptive identification and control for artificial pancreas systems. IEEE Trans Biomed Eng. 2014 Mar; 61(3):883-91.
    View in: PubMed
    Score: 0.089
  27. Adaptive control of artificial pancreas systems - a review. J Healthc Eng. 2014; 5(1):1-22.
    View in: PubMed
    Score: 0.088
  28. Hypoglycemia early alarm systems based on recursive autoregressive partial least squares models. J Diabetes Sci Technol. 2013 Jan 01; 7(1):206-14.
    View in: PubMed
    Score: 0.082
  29. Hypoglycemia prediction with subject-specific recursive time-series models. J Diabetes Sci Technol. 2010 Jan 01; 4(1):25-33.
    View in: PubMed
    Score: 0.067
  30. Estimation of future glucose concentrations with subject-specific recursive linear models. Diabetes Technol Ther. 2009 Apr; 11(4):243-53.
    View in: PubMed
    Score: 0.063
  31. The Effects of Basal Insulin Suspension at the Start of Exercise on Blood Glucose Levels During Continuous Versus Circuit-Based Exercise in Individuals with Type 1 Diabetes on Continuous Subcutaneous Insulin Infusion. Diabetes Technol Ther. 2017 06; 19(6):370-378.
    View in: PubMed
    Score: 0.028
  32. Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus Report. Diabetes Care. 2016 Jul; 39(7):1175-9.
    View in: PubMed
    Score: 0.026
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.