Towards an IoT and Big Data Analytics Platform for the Definition of Diabetes Telecare Services

6 Pages Posted: 4 Jun 2018 Last revised: 22 Jun 2018

See all articles by A Kharbouch

A Kharbouch

Moulay Ismail University - Faculty of Science; International University of Rabat - Faculty of Computer Science and Logistic; University of Antwerp - Department of Mathematics and Computer Science

H El Khoukhi

Université Moulay Ismaïl - Faculty of Science; International University of Rabat - Faculty of Computer Science and Logistic; University of Antwerp

Y Nait Malek

Université Internationale de Rabat - Faculty of Computer Science and Logistic; ENSIAS Mohammed V- Souissi University Rabat

Mohamed Bakhouya

Université Internationale de Rabat - Faculty of Computer Science and Logistic

V De Florio

University of Antwerp - Department of Mathematics and Computer Science; Vlaamse Instelling voor Technologisch Onderzoek

D El Ouadghiri

Université Moulay Ismaïl - Faculty of Science

Steven Latré

University of Antwerp - Department of Mathematics and Computer Science

C Blondia

University of Antwerp - Department of Mathematics and Computer Science

Date Written: May 28, 2018

Abstract

Diabetes is considered as one of chronic disease that requires patient self-monitoring processes and constant care. Patients need to perform frequently a control of glucose level in the blood in order to prevent hypoglycemia episodes. However, efficient detection of hypoglycemia could be done by checking other vital signs. The gaps in the manual monitoring and heavy control process prevent some patients to daily control and follow the progress of their disease; therefore, several metabolic problems could be noticed and need to be taken seriously into consideration. Therefore, tools for efficient disease control are required to allow self-monitoring of blood glucose and other vitals and measures (e.g., activities, dietary). This will allow filling the gap between patients and carers with the main objective to enhance comfort of patients and reduce the treatment costs. The work presented in this paper aims to develop a platform that combines IoT and complex event processing techniques for hypoglycemia detection. A prototype is introduced together with preliminary results to show its effectiveness for the definition of diabetes telecare services, mainly for hypoglycemia detection.

Keywords: Internet of Things; Diabetes telecare services; Big Data technologies; Complex event processing; Early detection of hypoglycemia.

Suggested Citation

Kharbouch, Abdelhak and Kharbouch, Abdelhak and El Khoukhi, H and Nait Malek, Y and Bakhouya, Mohamed and De Florio, V and El Ouadghiri, D and Latré, Steven and Blondia, C, Towards an IoT and Big Data Analytics Platform for the Definition of Diabetes Telecare Services (May 28, 2018). Smart Application and Data Analysis for Smart Cities (SADASC'18), Available at SSRN: https://ssrn.com/abstract=3186346 or http://dx.doi.org/10.2139/ssrn.3186346

Abdelhak Kharbouch (Contact Author)

International University of Rabat - Faculty of Computer Science and Logistic ( email )

Rabat
Morocco

Moulay Ismail University - Faculty of Science ( email )

Meknès, 11201
Morocco

University of Antwerp - Department of Mathematics and Computer Science ( email )

Prinsstraat 13
Antwerp, 2000
Belgium

H El Khoukhi

Université Moulay Ismaïl - Faculty of Science ( email )

Meknès, MA Meknès 50000
Morocco

International University of Rabat - Faculty of Computer Science and Logistic ( email )

Rabat
Morocco

University of Antwerp ( email )

Prinsstraat 13
Antwerp, 2000
Belgium

Y Nait Malek

Université Internationale de Rabat - Faculty of Computer Science and Logistic ( email )

Rabat
Morocco

ENSIAS Mohammed V- Souissi University Rabat ( email )

Morocco

Mohamed Bakhouya

Université Internationale de Rabat - Faculty of Computer Science and Logistic ( email )

Rabat
Morocco

V De Florio

University of Antwerp - Department of Mathematics and Computer Science ( email )

Prinsstraat 13
Antwerp, 2000
Belgium

Vlaamse Instelling voor Technologisch Onderzoek ( email )

Belgium

D El Ouadghiri

Université Moulay Ismaïl - Faculty of Science ( email )

Meknès, MA Meknès 50000
Morocco

Steven Latré

University of Antwerp - Department of Mathematics and Computer Science

Prinsstraat 13
Antwerp, 2000
Belgium

C Blondia

University of Antwerp - Department of Mathematics and Computer Science ( email )

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