Kernel-based Estimate of the Insulin Action of Rapid-Acting Insulin in Home-Monitored Data

Summary, in English

To improve glycemic control in insulin-dependent diabetes, estimates of the glucose- lowering effect of insulin-the insulin action (IA)-and the dynamics thereof are essential. The current practice relies on generic estimates of the dynamic shape of the IA and rules-of-thumb to assess the total glucose-lowering effect. In this paper we present individualized estimates based on home-monitored data, incorporating a kernel-based estimate that also accounts for the nonlinear behavior of the IA across the glucose range. The method is successfully validated on 29 patients on continuous insulin pump therapy.

• Författare: Fredrik Ståhl; Erik Lindström; Mona Landin-Olsson; Rolf Johansson
• Avdelning/ar: ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Institutionen för reglerteknik; Matematisk statistik; Financial Mathematics Group; Institutionen för kliniska vetenskaper, Lund; Medicin/akutsjukvård, Lund; Diabetes lab
• Publiceringsår: 2015
• Språk: Engelska
• Sidor: 715-720
• Publikation/Tidskrift/Serie: IFAC-PapersOnLine
• Volym: 48
• Issue: 28
• Länkar: http://dx.doi.org/10.1016/j.ifacol.2015.12.214
• Dokumenttyp: Artikel i tidskrift
• Förlag: IFAC Secretariat
• Ämne: Medical Biotechnology; Control Engineering
• Status: Published
• Projekt: DIAdvisor
• Forskningsgrupp: Financial Mathematics Group; Diabetes lab
• ISBN/ISSN/Övrigt: ISSN: 2405-8963