Design of a dual-hormone model predictive control for artificial pancreas with exercise model

Navid Resalat, Joseph El Youssef, Ravi Reddy, Peter Jacobs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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).

Original languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2270-2273
Number of pages4
Volume2016-October
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
CountryUnited States
CityOrlando
Period8/16/168/20/16

Fingerprint

Artificial Pancreas
Hormones
Model predictive control
Exercise
Glucagon
Insulin
Hypoglycemia
Glucose
Glucose sensors
Medical problems
Type 1 Diabetes Mellitus
Nausea
Theoretical Models
Mathematical models
Technology

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Resalat, N., El Youssef, J., Reddy, R., & Jacobs, P. (2016). Design of a dual-hormone model predictive control for artificial pancreas with exercise model. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Vol. 2016-October, pp. 2270-2273). [7591182] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7591182

Design of a dual-hormone model predictive control for artificial pancreas with exercise model. / Resalat, Navid; El Youssef, Joseph; Reddy, Ravi; Jacobs, Peter.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. p. 2270-2273 7591182.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Resalat, N, El Youssef, J, Reddy, R & Jacobs, P 2016, Design of a dual-hormone model predictive control for artificial pancreas with exercise model. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. vol. 2016-October, 7591182, Institute of Electrical and Electronics Engineers Inc., pp. 2270-2273, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 8/16/16. https://doi.org/10.1109/EMBC.2016.7591182
Resalat N, El Youssef J, Reddy R, Jacobs P. Design of a dual-hormone model predictive control for artificial pancreas with exercise model. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2270-2273. 7591182 https://doi.org/10.1109/EMBC.2016.7591182
Resalat, Navid ; El Youssef, Joseph ; Reddy, Ravi ; Jacobs, Peter. / Design of a dual-hormone model predictive control for artificial pancreas with exercise model. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2270-2273
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