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Predicting Nocturnal Hypoglycemia Using a Non-Parametric Insulin Action Model

Ståhl, Fredrik LU ; Johansson, Rolf LU and Landin-Olsson, Mona LU (2015) IEEE International Conference on Systems, Man, and Cybernetics (SMC) In 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC) p.1583-1588
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... (More)
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. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Diabetes, non-parametric model, prediction
in
2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
pages
1583 - 1588
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
external identifiers
  • wos:000368940201112
  • scopus:84964519927
ISSN
1062-922X
DOI
10.1109/SMC.2015.280
language
English
LU publication?
yes
id
7f1ff1c3-b104-4f6e-9f99-6cc5c7455e91 (old id 8731806)
date added to LUP
2016-02-29 19:16:11
date last changed
2017-01-01 06:10:42
@inproceedings{7f1ff1c3-b104-4f6e-9f99-6cc5c7455e91,
  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.},
  author       = {Ståhl, Fredrik and Johansson, Rolf and Landin-Olsson, Mona},
  booktitle    = {2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  issn         = {1062-922X},
  keyword      = {Diabetes,non-parametric model,prediction},
  language     = {eng},
  pages        = {1583--1588},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Predicting Nocturnal Hypoglycemia Using a Non-Parametric Insulin Action Model},
  url          = {http://dx.doi.org/10.1109/SMC.2015.280},
  year         = {2015},
}