Open Research Newcastle
Browse

Design of MDIs for type 1 diabetes treatment via rolling horizon cardinality-constrained optimisation

Download (317.5 kB)
conference contribution
posted on 2025-05-11, 13:55 authored by Diego S. Carrasco, Aaron D. Matthews, Graham GoodwinGraham Goodwin, Ramón A. Delgado, Adrian M. Medioli
Recent results on cardinality constrained optimisation are used to obtain an optimised Multiple Daily Injection (MDI) insulin regimen for Type 1 Diabetes patients. The optimisation is implemented in a rolling horizon fashion to account for unannounced events. A blood glucose model is described and an algorithm developed to illustrate the aforementioned strategy. The impact of varying the number of allowable injections in a given day is also studied. Real patient data is used to obtain the models and simulation results are included.

History

Source title

20th IFAC World Congress: Toulouse, France, 9-14 July 2017: Proceedings [presented in IFAC-PapersOnLine, Vol. 50 Iss. 1]

Name of conference

20th IFAC World Congress

Location

Toulouse, France

Start date

2017-07-09

End date

2017-07-14

Pagination

15044-15049

Editors

Dochain, D., Henrion, D. & Peaucelle, D.

Publisher

Elsevier

Place published

Kidlington, UK

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Usage metrics

    Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC