Cloud Based Acquisition System for Diabetic Data

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To access the full text documents, please follow this link: http://hdl.handle.net/10256/14869

dc.contributor.author	Nita, Lucian
dc.contributor.author	Torrent-Fontbona, Ferran
dc.date	2018-01-15T11:56:21Z
dc.date	2018-01-15T11:56:21Z
dc.date	2017
dc.identifier.uri	http://hdl.handle.net/10256/14869
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	IMEKO TC-4
dc.relation	Versió postprint del document publicat a: http://www.imeko2017.tuiasi.ro/
dc.relation	© IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical & electronic mesuraments: September 14-15, 2017, Iasi, Romania
dc.relation	Contribucions a congressos (D-EEEiA)
dc.relation	info:eu-repo/grantAgreement/EC/H2020/689810
dc.rights	Tots els drets reservats
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Diabètics -- Congressos
dc.subject	Diabetics -- Congresses
dc.subject	Computació en núvol
dc.subject	Cloud computing
dc.subject	Serveis web
dc.subject	Web services
dc.subject	Bases de dades web
dc.subject	Web databases
dc.title	Cloud Based Acquisition System for Diabetic Data
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/acceptedVersion
dc.description.abstract	IMEKO TC4 (22è : 2017 : Iasi, Romania). 22nd IMEKO TC4 Symposium and 20th International Workshop on ADC Modelling and Testing: supporting worl development through electrical & electronic mesuraments: September 14-15, 2017, Iasi, Romania
dc.description.abstract	The paper presents a system which collects medical data from people with type 1 diabetes mellitus, stores the data into a cloud database and implements web pages for data analysis. This system architecture gives possibility to clinicians and patients to share information about patient evolution without the need for the patient to physically visit the hospital. The system includes a clinical decision support system which helps the patient on insulin doses calibration
dc.description.abstract	This material is based upon the work which is supported by the European Union through the H2020 “PEPPER” project: Patient Empowerment through Predictive Personalized decision support, http://www.pepper.eu.com

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