%Aigaion2 BibTeX export from HES SO Valais Publications
%Monday 31 August 2026 09:31:08 AM

@INPROCEEDINGS{,
        author = {Dubosson, Fabien and Bromuri, Stefano and Ranvier, Jean-Eudes and Schumacher, Michael},
         month = aug,
         title = {D1NAMO, A Personal Health System for Glycemic Events Detection},
     booktitle = {Workshop Artificial Intelligence for Diabetes, 22nd European Conference on Artificial Intelligence (ECAI 2016)},
          year = {2016},
      location = {The Hague, Netherlands},
  organization = {ECAI},
      abstract = {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.}
}