Predicting Nocturnal Hypoglycemia Using a Non-Parametric Insulin Action Model

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

Nocturnal hypoglycemia is a common and potentially very dangerous condition facing persons with insulin-treated diabetes. To reduce the risk of going low while sleeping, many patient wilfully elevate their glucose level before bedtime, thereby also eroding the conditions for a sound glucose control for the next day. Recent advances in sensor technology allow for real-time frequent monitoring of the glucose level, and the road map towards an artificial pancreas involves combining an insulin pump with such sensors. The first steps towards a more autonomous insulin pump have been taken by allowing the pump to suspend the insulin supply when a hypoglycemic episode is imminent. This feature relies on algorithms for predicting the nocturnal event. In this paper, we present a novel model for this purpose. In comparison to previous methods, a better trade-off between sensitivity and false alarm rate was achieved, as well as improved warning time.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
  • Endokrinologi och diabetes

Nyckelord

Originalspråkengelska
Titel på värdpublikation2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
FörlagIEEE--Institute of Electrical and Electronics Engineers Inc.
Sidor1583-1588
StatusPublished - 2015
PublikationskategoriForskning
Peer review utfördJa
EvenemangIEEE International Conference on Systems, Man, and Cybernetics (SMC) - City University of Hong Kong, Kina
Varaktighet: 2015 okt 92015 okt 12

Publikationsserier

Namn
ISSN (tryckt)1062-922X

Konferens

KonferensIEEE International Conference on Systems, Man, and Cybernetics (SMC)
LandKina
OrtCity University of Hong Kong
Period2015/10/092015/10/12

Related projects

Fredrik Ståhl, Meike Rönn, Marzia Cescon & Rolf Johansson

2008/03/012012/02/29

Projekt: Forskning

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