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Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm
Joint Authors
Ngo, Phuong D.
Wei, Susan
Holubová, Anna
Muzik, Jan
Godtliebsen, Fred
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Background.
Type-1 diabetes is a condition caused by the lack of insulin hormone, which leads to an excessive increase in blood glucose level.
The glucose kinetics process is difficult to control due to its complex and nonlinear nature and with state variables that are difficult to measure.
Methods.
This paper proposes a method for automatically calculating the basal and bolus insulin doses for patients with type-1 diabetes using reinforcement learning with feedforward controller.
The algorithm is designed to keep the blood glucose stable and directly compensate for the external events such as food intake.
Its performance was assessed using simulation on a blood glucose model.
The usage of the Kalman filter with the controller was demonstrated to estimate unmeasurable state variables.
Results.
Comparison simulations between the proposed controller with the optimal reinforcement learning and the proportional-integral-derivative controller show that the proposed methodology has the best performance in regulating the fluctuation of the blood glucose.
The proposed controller also improved the blood glucose responses and prevented hypoglycemia condition.
Simulation of the control system in different uncertain conditions provided insights on how the inaccuracies of carbohydrate counting and meal-time reporting affect the performance of the control system.
Conclusion.
The proposed controller is an effective tool for reducing postmeal blood glucose rise and for countering the effects of external known events such as meal intake and maintaining blood glucose at a healthy level under uncertainties.
American Psychological Association (APA)
Ngo, Phuong D.& Wei, Susan& Holubová, Anna& Muzik, Jan& Godtliebsen, Fred. 2018. Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131980
Modern Language Association (MLA)
Ngo, Phuong D.…[et al.]. Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1131980
American Medical Association (AMA)
Ngo, Phuong D.& Wei, Susan& Holubová, Anna& Muzik, Jan& Godtliebsen, Fred. Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131980