TY  - CONF
T1  - D1NAMO, A Personal Health System for Glycemic Events Detection
A1  - Dubosson, Fabien
A1  - Bromuri, Stefano
A1  - Ranvier, Jean-Eudes
A1  - Schumacher, Michael
TI  - Workshop Artificial Intelligence for Diabetes, 22nd European Conference on Artificial Intelligence (ECAI 2016)
Y1  - 2016
T2  - ECAI
CY  - The Hague, Netherlands
N2  - Several approaches are used nowadays to help diabetic people to handle their disease, one of them being the self-management of diabetes. We developed in this context a platform allowing patients to report and log their symptoms,medications and glucose levels through an Android application. In addition to self-management, the \DINAMO{} project aims at using ECG signals in order to detect glycemic events and eventually predict glycemia levels. The BioHarness Zephyr 3 sensor has been integrated in the platform for this purpose. The resulting platform is a full-stack personal health system for diabetes self-management with support for physiological signals such as ECG: a physiological signals sensor, an Android application, a central server, a database and a few webpages are composing it. The question of the data lifecycle management in regards to the platform usages is discussed.
ER  -