Swarm hybrid optimization for a piecewise model fitting applied to a glucose model
Published date | 12 November 2018 |
Pages | 404-416 |
DOI | https://doi.org/10.1108/JSIT-10-2017-0103 |
Date | 12 November 2018 |
Author | Luis Acedo,Marta Botella,Juan Carlos Cortés,J. Ignacio Hidalgo,Esther Maqueda,Rafael Jacinto Villanueva |
Subject Matter | Information & knowledge management,Information systems,Information & communications technology |
Swarm hybrid optimization for a
piecewise model fitting applied to
a glucose model
Luis Acedo
Universitat Politecnica de Valencia, Valencia, Spain
Marta Botella
Hospital Universitario Principe de Asturias, Alcala de Henares, Spain
Juan Carlos Cortés
Universitat Politecnica de Valencia, Valencia, Spain
J. Ignacio Hidalgo
Universidad Complutense de Madrid, Madrid, Spain
Esther Maqueda
Hospital Virgen de la Salud, Toledo, Spain, and
Rafael Jacinto Villanueva
Universitat Politecnica de Valencia, Valencia, Spain
Abstract
Purpose –The purpose of this paper is to studyinsulin pump therapy and accurate monitoring of glucose
levels in diabetic patients, which are current research trends in diabetology. Both problems have a wide
margin for improvementand promising applications in the control of parametersand levels involved.
Design/methodology/approach –The authors haveregistered data for the levels of glucose in diabetic
patients throughout a day with a temporal resolution of 5 minutes, the amount and time of insulin
administered and time of ingestion. The estimated quantity of carbohydrates is also monitored. A
mathematicalmodel for Type 1 patients was fitted piecewiseto these data and the evolution of the parameters
was analyzed.
Findings –They have found that the parametersfor the model change abruptly throughout a day for the
same patient, but this set of parametersaccount with precision for the evolution of the glucose levels in the
test patients. This fitting techniquecould be used to personalize treatments for specific patients and predict
the glucose-levelvariations in terms of hours or even shorter periods of time. This way more effectiveinsulin
pump therapiescould be developed.
Originality/value –The proposed model could allow for the development of improved schedules on
insulin pumptherapies.
Keywords Glucose mathematical model, Glucose monitoring, Insulin pump therapy,
Piecewise fitting, Swarm optimization
Paper type Research paper
1. Introduction
Glucose real-time continuous monitoring(GRTCM) has proven a valid procedure to achieve
metabolic control inType 1 diabetic patients (DM1), both for multiple insulin dosetreatment
JSIT
20,4
404
Received31 October 2017
Revised16 January 2018
7 February2018
Accepted14 February 2018
Journalof Systems and
InformationTechnology
Vol.20 No. 4, 2018
pp. 404-416
© Emerald Publishing Limited
1328-7265
DOI 10.1108/JSIT-10-2017-0103
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