Intelligent system for diabetes patients monitoring and assistance

Autor: Marc Girod Genet, Dima AlMouhammad, Bachar El-Hassan, Lina Nachabe
Přispěvatelé: American University of Culture & Education (.) (AUCE), Faculty of Engineering [Lebanese University] (ULFG), Lebanese University [Beirut] (LU), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (RS2M), Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Proceedings ICABME 2017 : 4th International Conference on Advances in Biomedical Engineering
ICABME 2017 : 4th International Conference on Advances in Biomedical Engineering
ICABME 2017 : 4th International Conference on Advances in Biomedical Engineering, Oct 2017, Beirut, Lebanon. pp.1-4, ⟨10.1109/ICABME.2017.8167570⟩
Popis: International audience; The number of diabetes patients is increasing dramatically. Diabetes has many reasons and can lead to severe complications. It has been proven that early diagnosis and effective monitoring and assistance can decrease the effect of this disease. Thus, this paper presents general diabetes system for patient's pre-diagnosis, monitoring and assistance. Client java graphical interfaces, in addition to a remote server, have been conceived for effective controlling and monitoring. The communication is based on encrypted JSON queries
Databáze: OpenAIRE