ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2016
Design of a dual-hormone model predictive control for artificial pancreas with exercise model.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial.The Lancet. Digital health · 2023Trial
- Separating insulin-mediated and non-insulin-mediated glucose uptake during and after aerobic exercise in type 1 diabetes.American journal of physiology. Endocrinology and metabolism · 2021Trial
- Event-triggered smart dual hormone artificial pancreas for patient-specific drug delivery.Scientific reports · 2025Article
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Diabetes technology & therapeutics · 2025Review
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2025Review
- Quantifying insulin-mediated and noninsulin-mediated changes in glucose dynamics during resistance exercise in type 1 diabetes.American journal of physiology. Endocrinology and metabolism · 2023Article
- Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence.NPJ digital medicine · 2023Article
- The Evolution of Insulin Administration in Type 1 Diabetes.Journal of diabetes mellitus · 2021Article
- Blood Glucose Level Forecasting on Type-1-Diabetes Subjects during Physical Activity: A Comparative Analysis of Different Learning Techniques.Bioengineering (Basel, Switzerland) · 2021Article
- Design of dual hormone blood glucose therapy and comparison with single hormone using MPC algorithm.IET systems biology · 2020Article
- Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus.IET systems biology · 2020Article
- Adaptive Control of an Artificial Pancreas Using Model Identification, Adaptive Postprandial Insulin Delivery, and Heart Rate and Accelerometry as Control Inputs.Journal of diabetes science and technology · 2019Article
- Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes.Journal of diabetes science and technology · 2019Article
- A statistical virtual patient population for the glucoregulatory system in type 1 diabetes with integrated exercise model.PloS one · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The Artificial Pancreas (AP) is a new technology for helping people with type 1 diabetes to better control their glucose levels through automated delivery of insulin and optionally glucagon in response to sensed glucose levels. In a dual hormone AP, insulin and glucagon are delivered automatically to the body based on glucose sensor measurements using a control algorithm that calculates the amount of hormones to be infused. A dual-hormone MPC may deliver insulin continuously; however, it must avoid continuous delivery of glucagon because nausea can occur from too much glucagon. In this paper, we propose a novel dual-hormone (DH) switching model predictive control and compare it with a single-hormone (SH) MPC. We extended both MPCs by integrating an exercise model and compared performance with and without the exercise model included. Results were obtained on a virtual patient population undergoing a simulated exercise event using a mathematical glucoregulatory model that includes exercise. Time spent in hypoglycemia is significantly less with the DH-MPC than the SH-MPC (p=0.0022). Additionally, including the exercise model in the DH-MPC can help prevent hypoglycemia (p <; 0.001).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.