Algorithms for a single hormone closed-loop artificial pancreas: Challenges pertinent to chemical process operations and control

B. Wayne Bequette, Faye Cameron, Nihat Baysal, Daniel P. Howsmon, Bruce A. Buckingham, David M. Maahs, Carol J. Levy

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

The development of a closed-loop artificial pancreas to regulate the blood glucose concentration of individuals with type 1 diabetes has been a focused area of research for over 50 years, with rapid progress during the past decade. The daily control challenges faced by someone with type 1 diabetes include asymmetric objectives and risks, and one-sided manipulated input action with frequent relatively fast disturbances. The major automation steps toward a closed-loop artificial pancreas include (i) monitoring and overnight alarms for hypoglycemia (low blood glucose); (ii) overnight low glucose suspend (LGS) systems to prevent hypoglycemia; and (iii) fully closed-loop systems that adjust insulin (and perhaps glucagon) to maintain desired blood glucose levels day and night. We focus on the steps that we used to develop and test a probabilistic, risk-based, model predictive control strategy for a fully closed-loop artificial pancreas. We complete the paper by discussing ramifications of lessons learned for chemical process systems applications.

Original languageEnglish
Article number39
JournalProcesses
Volume4
Issue number4
DOIs
StatePublished - 1 Dec 2016

Keywords

  • Artificial pancreas
  • Glucose control
  • Type 1 diabetes

Fingerprint

Dive into the research topics of 'Algorithms for a single hormone closed-loop artificial pancreas: Challenges pertinent to chemical process operations and control'. Together they form a unique fingerprint.

Cite this