Meal Simulation Model of the Glucose-Insulin System

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Items 301–400 of 955

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2. Towards a Model-Based Meal Detector for Type I Diabetics
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3. Utilizing Information Technologies for Lifelong Monitoring in Diabetes Patients
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4. Digital twins and hybrid modelling for simulation of physiological variables and stroke risk
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5. Towards the Integration of an Islet-Based Biosensor in Closed-Loop Therapies for Patients With Type 1 Diabetes
   Loïc Olçomendy, Louis Cassany, Antoine Pirog, Roberto Franco, Emilie Puginier, Manon Jaffredo, David Gucik‐Derigny, Héctor Ríos, Alejandra Ferreira de Loza, Julien Gaitan et al. · 2022 · Frontiers in Endocrinology
6. A simulator with realistic and challenging scenarios for virtual T1D patients undergoing CSII and MDI therapy
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7. Analysis and modelling of glucose metabolism in diabetic Göttingen minipigs
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8. The fractal nature of blood glucose fluctuations
   Amir Weissman, Ofer Binah · 2014 · Journal of Diabetes and its Complications
9. Identification of intra-patient variability in the postprandial response of patients with type 1 diabetes
   Alejandro José Laguna Sanz, Paolo Rossetti, Francisco Javier Ampudia‐Blasco, Josep Vehı́, Jorge Bondía · 2013 · Biomedical Signal Processing and Control
10. Inverse optimal neural control for a class of discrete‐time nonlinear positive systems
    Blanca S. Leon, A. Alanis, E. Sánchez, E. Ruiz‐Velázquez, F. Ornelas‐Tellez · 2012 · International Journal of Adaptive Control and Signal Processing
11. A model-based approach to synthesizing insulin infusion pump usage parameters for diabetic patients
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12. A Data-Driven Approach to Artificial Pancreas Verification and Synthesis
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13. Magnitude of gluconeogenesis and endogenous glucose production: are they predictable in clinical settings?
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14. Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models
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15. Subcutaneous insulin administration by deep reinforcement learning for blood glucose level control of type-2 diabetic patients
    Mohammad Ali Raheb, Vahid Reza Niazmand, Navid Eqra, Ramin Vatankhah · 2022 · Computers in Biology and Medicine
16. Robust nonlinear control of blood glucose in diabetic patients subject to model uncertainties
    Bahareh Farahmand, Maryam Dehghani, Navid Vafamand, Alireza Mirzaee, Reza Boostani, Jeffrey Kurt Pieper · 2022 · ISA Transactions
17. Ensuring security of artificial pancreas device system using homomorphic encryption
    Haotian Weng, Chirath Hettiarachchi, Christopher James Nolan, Hanna Suominen, Artem A. Lenskiy · 2022 · Biomedical Signal Processing and Control
18. Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model
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19. Higher Accuracy of Self-Monitoring of Blood Glucose in Insulin-Treated Patients in Germany: Clinical and Economical Aspects
    Oliver Schnell, Michael Erbach, Eva Sabine Wintergerst · 2013 · Journal of Diabetes Science and Technology
20. Preclinically assessed optimal control of postprandial glucose excursions for type 1 patients with diabetes
    T. Prud'homme, A. Bock, G. François, D. Gillet · 2011 · IEEE International Conference on Automation Science and Engineering
21. Personalized Hybrid Models for Exercise, Meal, and Insulin Interventions in Type 1 Diabetic Children and Adolescents
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22. Parameter estimation of a meal glucose-insulin model for TIDM patients from therapy historical data.
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23. Immune-evasive beta cells in type 1 diabetes: innovations in genetic engineering, biomaterials, and computational modeling
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24. Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions
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25. Exploring Robustness in Blood Glucose Control with Unannounced Meal Intake for Type-1 Diabetes Patient
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26. System Analysis Techniques in eHealth Systems: A Case Study
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27. Identification of an integrated mathematical model of standard oral glucose tolerance test for characterization of insulin potentiation in health
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28. Robust multi‐objective blood glucose control in Type‐1 diabetic patient
    Sharmistha Mandal, Ashoke Sutradhar · 2019 · IET Systems Biology
29. Hypoglycaemia‐free artificial pancreas project
    Nicolas Magdelaine, Pablo S. Rivadeneira, Lucy Chaillous, Anne‐Laure Fournier‐Guilloux, Michel Krempf, Taghreed MohammadRidha, Mourad Ait Ahmed, Claude H. Moog · 2019 · IET Systems Biology
30. Robust μ-synthesis: Towards a unified glucose control in adults, adolescents and children with T1DM
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31. Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios
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32. El Páncreas Artificial: Control Automático de Infusión de Insulina en Diabetes Mellitus Tipo 1
    Jorge Bondía, Josep Vehı́, Cesar C. Palerm, Pau Herrero · 2010 · Revista Iberoamericana de Automática e Informática Industrial RIAI
33. Fuzzy-Logic-Based Supervisor of Insulin Bolus Delivery for Patients with Type 1 Diabetes Mellitus
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34. A mathematical model of type 1 diabetes involving leptin effects on glucose metabolism
    Rei Kadota, Kazuma Sugita, Kenko Uchida, Hitoshi Yamada, Masashi Yamashita, Hidenori Kimura · 2018 · Journal of Theoretical Biology
35. Modelling of fasting glucose-insulin dynamics from sparse data
    Tinna Björk Aradóttir, Dimitri Boiroux, Henrik L. Bengtsson, Niels Kjølstad Poulsen · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
36. Handling Parameter Variations during the Treatment of Type 1 Diabetes Mellitus: In Silico Results
    María F. Villa-Tamayo, Michelle A. Caicedo, Pablo S. Rivadeneira · 2019 · Mathematical Problems in Engineering
37. Nonlinear Metabolic Effect of Insulin Across the Blood Glucose Range in Patients with Type 1 Diabetes Mellitus
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38. Cognitive Control initiative
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39. Bayesian optimization assisted meal bolus decision based on Gaussian processes learning and risk-sensitive control
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40. Integrated experimental-computational analysis of a HepaRG liver-islet microphysiological system for human-centric diabetes research
    Belén Casas, Liisa K. Vilén, S. Bauer, K. Kanebratt, Charlotte Wennberg Huldt, Lisa U. Magnusson, U. Marx, T. Andersson, Peter Gennemark, G. Cedersund · 2022 · PLoS Comput. Biol.
41. Tests on a virtual patient for an observer-based, closed-loop control of plasma glycemia
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42. The potential of learning from erroneous models: comparing three types of model instruction
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43. A Mechanistic Model of Intermittent Gastric Emptying and Glucose-Insulin Dynamics following a Meal Containing Milk Components
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44. Intra-patient dynamic variations in Type 1 Diabetes: A review
    Marcela Moscoso-Vásquez, Patricio H. Colmegna, Ricardo Sánchez‐Peña · 2016 · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications
45. Revisiting Lyapunov's Technique in the Fixed Point Transformation-Based Adaptive Control
    Bertalan Csanádi, Péter Galambos, József K. Tar, György Györök, Andrea Serester · 2018 · IEEE International Conference on Intelligent Engineering Systems (INES)
46. Animal Research for Type 2 Diabetes Mellitus, Its Limited Translation for Clinical Benefit, and the Way Forward
    Zeeshan Ali, P. Charukeshi Chandrasekera, John J. Pippin · 2018 · Alternatives to Laboratory Animals
47. Breiman's Two Cultures: You Don't Have to Choose Sides
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48. Diabetes Mellitus Glucose Prediction by Linear and Bayesian Ensemble Modeling
    Fredrik L. Ståhl · 2012 · Lund University Publications (Lund University)
49. Observer-Based Glucose Control Via Subcutaneous Insulin Administration
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50. Anticipating Meals with Behavioral Profiles: Towards Stochastic Model Predictive Control of T1DM
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52. Mathematical Model of Glucose-Insulin Metabolism in Type 1 Diabetes Including Digestion and Absorption of Carbohydrates
    Claudia Cecilia Yamamoto Noguchi, E. Furutani, S. Sumi · 2014 · SICE Journal of Control Measurement and System Integration
53. Glucose uptake saturation explains glucose kinetics profiles measured by different tests
    Roberto Bizzotto, Andrea Natali, Amalia Gastaldelli, Elza Muscelli, Martin Krššák, Attila Brehm, Michael Roden, Ele Ferrannini, Andrea Mari · 2016 · American Journal of Physiology-Endocrinology and Metabolism
54. Parameter addition in interaction of glucose and insulin for type 1 diabetes
    Nur Farhana Mohd Yusof, Ayub Md Som, Ahmmed Saadi Ibrehem, Sherif Abdulbari Ali · 2012 · IEEE-EMBS Conference on Biomedical Engineering and Sciences
55. A mathematical model for the robust blood glucose tracking
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56. An Advisory Protocol for Rapid- and Slow-Acting Insulin Therapy Based on a Run-to-Run Methodology
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57. Evaluation of CETP activity in vivo under non-steady-state conditions: influence of anacetrapib on HDL-TG flux
    David G. McLaren, Stephen F. Previs, Robert D. Phair, Steven J. Stout, Dan Xie, Ying Chen, Gino Salituro, Suoyu S. Xu, Jose M. Castro‐Perez, Gregory J. Opiteck et al. · 2016 · Journal of Lipid Research
58. A Data-Driven Personalized Model of Glucose Dynamics Taking Account of the Effects of Physical Activity for Type 1 Diabetes: An In Silico Study
    Jinyu Xie, Qian Wang · 2018 · Journal of Biomechanical Engineering
59. Extended adaptive predictive controller with robust filter to enhance blood glucose regulation in type I diabetic subjects
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60. Strategies for Glucose Control in People with Type 1 Diabetes
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61. Asymptotic output tracking in blood glucose control. A case study
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62. A Review of Mathematical Model Describing Insulin Delivery System for Type 1 Diabetes
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63. Data-driven Adaptive Safety Monitoring Using Virtual Subjects in Medical Cyber-Physical Systems: A Glucose Control Case Study
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64. A Novel Insulin/Glucose Model after a Mixed-Meal Test in Patients with Type 1 Diabetes on Insulin Pump Therapy
    Luca Marchetti, Federico Reali, Marco Dauriz, Corinna Brangani, Linda Boselli, G. Ceradini, Enzo Bonora, Riccardo C. Bonadonna, Corrado Priami · 2016 · Scientific Reports
65. Modeling the effect of the cephalic phase of insulin secretion on glucose metabolism
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66. Statistically Sound Verification and Optimization for Complex Systems
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67. Integrating an Islet-Based Biosensor in the Artificial Pancreas: In Silico Proof-of-Concept
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68. Linear Time-Varying Luenberger Observer Applied to Diabetes
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69. Reduced hypoglycemia risk in insulin bolus therapy using asymmetric cost functions
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70. Compositional Relational Abstraction for Nonlinear Hybrid Systems
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71. The Hepato-Hypothalamic-Pituitary-Adrenal-Renal Axis: Mathematical Modeling of Cortisol’s Production, Metabolism, and Seasonal Variation
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72. Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes
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73. drCORRECT: An Algorithm for the Preventive Administration of Postprandial Corrective Insulin Boluses in Type 1 Diabetes Management
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74. Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction
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75. An Intraoperative Glucose Control Benchmark for Formal Verification
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76. Pharmacokinetic Model of the Transport of Fast-Acting Insulin From the Subcutaneous and Intradermal Spaces to Blood
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77. Modeling and optimal control strategies of diseases with high public health impact
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78. Main glucose hepatic fluxes in healthy subjects predicted from a phenomenological-based model
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79. A Dual-Hormone Multicontroller for Artificial Pancreas Systems
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80. Correlation Method for Identification of a Nonparametric Model of Type 1 Diabetes
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81. Observer-based closed-loop control for the glucose-insulin system: Local Input-to-State Stability with respect to unknown meal disturbances
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82. A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients
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83. Towards System Level Security Analysis of Artificial Pancreas Via UPPAAL-SMC
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84. Dynamic Rule-Based Algorithm to Tune Insulin-on-Board Constraints for a Hybrid Artificial Pancreas System
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85. Sampled-Data Static Output Feedback Control of the Glucose-Insulin System
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86. A feedback glucose control strategy for type II diabetes mellitus based on fuzzy logic
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87. Learning Insulin-Glucose Dynamics in the Wild
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88. An ensemble machine learning approach for the detection of unannounced meals to enhance postprandial glucose control
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89. An Insulin-Sensitivity-Aware Meal-Bolus Decision Method Based on Event-Triggered Adaptive Dynamic Programming
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90. Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction
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91. An extended minimal model of OGTT: estimation of α- and β-cell dysfunction, insulin resistance, and the incretin effect
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92. Neural inverse optimal control applied to type 1 diabetes mellitus patients
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93. Impulsive Predictive Control of T1DM Glycemia: An In-Silico Study
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94. Nonlinear glucose–insulin control considering delays—Part II: Control algorithm
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95. Model predictive control with event-triggered communication for an embedded artificial pancreas
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96. Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas
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97. Design of an online-tuned model based compound controller for a fully automated artificial pancreas
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98. Glucose Controller For Artificial Pancreas
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99. Conformance verification for neural network models of glucose-insulin dynamics
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100. A systems biology analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue in vivo
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