Skip to main content
European Commission logo
Deutsch Deutsch
CORDIS - Forschungsergebnisse der EU
CORDIS
CORDIS Web 30th anniversary CORDIS Web 30th anniversary
Inhalt archiviert am 2024-05-27

COntinuous Multi-parametric and Multi-layered analysis Of DIabetes TYpe 1 & 2

Projektbeschreibung


Personal Health Systems (PHS)

In COMMODITY12 we will build a multi-layered multi-parametric infrastructure for continuous monitoring of diabetes type 1 and 2. The COMMODITY12 system will exploit multi-parametric data to provide healthcare workers and patients, with clinical indicators for the treatment of diabetes type 1 and 2. COMMODITY12 will focus on the interaction between diabetes and cardiovascular diseases. To address the 5.1b) Challenge under the FP7 ICT 7th, we propose a four-layered platform structured as follows:-Body Area Network Layer (BAN): this layer will employ sensors from the BodyTel PHS and additional Bluetooth sensors to monitor the patient physiological signals. This layer will perform multi-parametric aggregation of data for the Smart Hub layer.-The Smart Hub Layer (SHL): the BodyTel PHS at this layer receives aggregated data from the BAN and applies machine learning to classify the signals and provide indications about abnormalities in the curves. SHL will communicate with DRR over the cell-phone network.-The Data Representation And Retrieval Layer (DRR): this layer, based on the Portavita PHS to manage EHR, interfaces to the SHL and utilises existing medical data to perform information retrieval and produce structured information for the agents at the AIL.-The Artificial Intelligence Layer (AIL): this layer uses the DRR layer to retrieve structured background knowledge of the patient for intelligent agents applying diagnostic reasoning to the patient's condition.The system will be validated with diabetes (type 1 and 2) with a pilot in the form of a trial. The project outcome will aim to curb diabetes hospitalisation costs and to curb the percentage of diabetic patients experiencing cardiovascular complications. The main focus of our platform in Challenge 5.1 b) will be on "correlating the multi-parametric data with established biomedical knowledge to derive clinically relevant indicators".

Aufforderung zur Vorschlagseinreichung

FP7-ICT-2011-7
Andere Projekte für diesen Aufruf anzeigen

Koordinator

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
EU-Beitrag
€ 544 369,00
Adresse
TRIPPSTADTER STRASSE 122
67663 Kaiserslautern
Deutschland

Auf der Karte ansehen

Region
Rheinland-Pfalz Rheinhessen-Pfalz Kaiserslautern, Kreisfreie Stadt
Aktivitätstyp
Research Organisations
Kontakt Verwaltung
Oliver Keller (Dr.)
Links
Gesamtkosten
Keine Daten

Beteiligte (12)