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Authors: Ivanoe De Falco 1 ; Antonio Della Cioppa 2 ; Tomas Koutny 3 ; Michal Krcma 4 ; Umberto Scafuri 1 and Ernesto Tarantino 1

Affiliations: 1 ICAR and National Research Council of Italy, Italy ; 2 University of Salerno, Italy ; 3 Faculty of Applied Sciences and University of West Bohemia, Czech Republic ; 4 Diabetology Center at the Pilsen Hospital University, Czech Republic

Keyword(s): Blood Glucose Estimation, Interstitial Glucose, Evolutionary Algorithms.

Abstract: The diabetes is correlated to a malfunction of the pancreas that produces very little or no insulin. A way to improve the quality of life of people with diabetes is to implement an artificial pancreas able to inject an insulin bolus when necessary. The aim of this paper is to devise a possibly step in constructing the fundamental element of such an artificial pancreas - estimation of the blood glucose (BG) through interstitial glucose (IG) measurements. In particular, a new methodology is presented to derive a mathematical relationship between BG and IG by exploiting the ability of the evolutionary techniques in solving this regression task. An automatic procedure is used to estimate the missing BG values within this database. To validate the discovered model a comparison with other models is carried out during the experimental phase.

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Paper citation in several formats:
De Falco, I.; Della Cioppa, A.; Koutny, T.; Krcma, M.; Scafuri, U. and Tarantino, E. (2018). An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - AI4Health; ISBN 978-989-758-281-3; ISSN 2184-4305, SciTePress, pages 625-632. DOI: 10.5220/0006729706250632

@conference{ai4health18,
author={Ivanoe {De Falco}. and Antonio {Della Cioppa}. and Tomas Koutny. and Michal Krcma. and Umberto Scafuri. and Ernesto Tarantino.},
title={An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - AI4Health},
year={2018},
pages={625-632},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006729706250632},
isbn={978-989-758-281-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - AI4Health
TI - An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements
SN - 978-989-758-281-3
IS - 2184-4305
AU - De Falco, I.
AU - Della Cioppa, A.
AU - Koutny, T.
AU - Krcma, M.
AU - Scafuri, U.
AU - Tarantino, E.
PY - 2018
SP - 625
EP - 632
DO - 10.5220/0006729706250632
PB - SciTePress

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