Diabetic patients are dependent on external substances to balance their blood glucose level. In order to control this level, they historically needed to sample a drop a blood from their hand and have it analyzed. Recently, other directions emerged to offer alternative ways to estimate glucose level. In this paper, we present our ongoing work on a framework for inferring semantically annotated glycemic events on the patient, which leverages mobile wearable sensors on a sport-belt.
Détails
Titre
Detection of hypoglycemic events through wearable sensors
Auteur(s)/ trice(s)
Ranvier, Jean-Eudes (Ecole Polytechnique Fédérale de Lausanne (EPFL)) Dubosson, Fabien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) Calbimonte, Jean-Paul (Ecole Polytechnique Fédérale de Lausanne (EPFL)) Aberer, Karl (Ecole Polytechnique Fédérale de Lausanne (EPFL))
Date
2017-05
Publié dans
Proceedings of the 1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments co-located with the 13th Extended Semantic Web Conference (ESWC 2016)
Editeur
Heraklion, Greece, Heraklion, Greece
Pagination
6 p.
Présenté à
1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments co-located with the 13th Extended Semantic Web Conference (ESWC 2016), Heraklion, Greece, 29/05/2016