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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 47
  3. Medical and Biological Engineering and Computing : Volume 47, Issue 3, March 2009
  4. Multi-objective blood glucose control for type 1 diabetes
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Medical and Biological Engineering and Computing : Volume 55
Medical and Biological Engineering and Computing : Volume 54
Medical and Biological Engineering and Computing : Volume 53
Medical and Biological Engineering and Computing : Volume 52
Medical and Biological Engineering and Computing : Volume 51
Medical and Biological Engineering and Computing : Volume 50
Medical and Biological Engineering and Computing : Volume 49
Medical and Biological Engineering and Computing : Volume 48
Medical and Biological Engineering and Computing : Volume 47
Medical and Biological Engineering and Computing : Volume 47, Issue 12, December 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 11, November 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 10, October 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 9, September 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 8, August 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 7, July 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 6, June 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 5, May 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 4, April 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 3, March 2009
Guidance for catheter ablation of ventricular arrhythmia
A review of state-of-the-art numerical methods for simulating flow through mechanical heart valves
A self-paced brain–computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training
Method for guiding the ablation catheter to the ablation site: a simulation and experimental study
A model for transcutaneous current stimulation: simulations and experiments
Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational study
Modeling the macro-structure of the heart: healthy and diseased
A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging
Enhanced modified moving average analysis of T-wave alternans using a curve matching method: a simulation study
Atrial fibrillation organization: quantification of propofol effects
Multi-objective blood glucose control for type 1 diabetes
Can a simulation study of T-wave alternans resolve whether TWA is T-wave amplitude dependent?
Response: can a simulation study of T-wave alternans (TWA) resolve whether TWA is T-wave amplitude dependent?
Medical and Biological Engineering and Computing : Volume 47, Issue 2, February 2009
Medical and Biological Engineering and Computing : Volume 47, Issue 1, January 2009
Medical and Biological Engineering and Computing : Volume 46
Medical and Biological Engineering and Computing : Volume 45
Medical and Biological Engineering and Computing : Volume 44
Medical and Biological Engineering and Computing : Volume 43
Medical and Biological Engineering and Computing : Volume 42
Medical and Biological Engineering and Computing : Volume 41
Medical and Biological Engineering and Computing : Volume 40
Medical and Biological Engineering and Computing : Volume 39
Medical and Biological Engineering and Computing : Volume 38
Medical and Biological Engineering and Computing : Volume 37
Medical and Biological Engineering and Computing : Volume 36
Medical and Biological Engineering and Computing : Volume 35

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Multi-objective blood glucose control for type 1 diabetes

Content Provider SpringerLink
Author Dua, Pinky Doyle, Francis J. Pistikopoulos, Efstratios N.
Copyright Year 2009
Abstract For people with type 1 diabetes, automatic controllers aim to maintain the blood glucose concentration within the desired range of 60–120 mg/dL by infusing the appropriate amount of insulin in the presence of meal and exercise disturbances. Blood glucose concentration outside the desired range can be harmful to an individual’s health but concentration below 60 mg/dL, a state known as hypoglycemia, is considered to be more harmful than the concentration above 120 mg/dL, a state known as hyperglycemia. In this paper, two techniques to address this issue within a multi-parametric model based control framework are presented. The first technique introduces asymmetry into the objective function to penalize the deviation towards hypoglycemia more than the deviation towards hyperglycemia. The second technique is based upon placing higher priority on satisfaction of constraints on hypoglycemia than on satisfaction of constraints on hyperglycemia. The performance of both the control techniques is analyzed and compared in the presence of disturbances.
Starting Page 343
Ending Page 352
Page Count 10
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 47
Issue Number 3
e-ISSN 17410444
Language English
Publisher Springer-Verlag
Publisher Date 2009-02-13
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Insulin delivery Multi-parametric programming Multi-parametric model based control Multi-objective control Computer Applications Imaging Radiology Human Physiology Biomedical Engineering
Content Type Text
Resource Type Article
Subject Biomedical Engineering Computer Science Applications
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