An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements

Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino

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 Harvard Style

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 - Volume 5: AI4Health, ISBN 978-989-758-281-3, pages 625-632. DOI: 10.5220/0006729706250632


in Bibtex Style

@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 - Volume 5: AI4Health,},
year={2018},
pages={625-632},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006729706250632},
isbn={978-989-758-281-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,
TI - An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements
SN - 978-989-758-281-3
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