DocumentCode :
675530
Title :
Web-of-Things inspired e-Health platform for integrated diabetes care management
Author :
Al-Taee, Majid A. ; Sungoor, Ala H. ; Abood, Suhail N. ; Philip, Nada Y.
Author_Institution :
Sch. of Comput. & Inf. Syst., Kingston Univ., London, UK
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Integration of physical objects (or things) within the Web has become a goal for current and future health care systems. In this paper, we propose a new e-Health platform driven by the needs of integrated diabetes care management. Architecture of this platform that is designed to be consistent with the concepts of Web-of-Things (WoT) comprises a physical sensors layer linked to a health Web-portal layer via an existing network infrastructure. The physical layer incorporates wireless nodes; each of which comprises a set of medical sensors linked wirelessly to a humanoid robot. Unlike existing e-Health systems, the proposed system is designed to support self-management of Type 1 diabetes mellitus (TIDM) not only through remote data collection and monitoring of patients data, but also through offering a support platform for real-time decisions and long-term social and behavioral change. These support services are delivered to the patients over a distance through daily patient-robot interactions that are either automatically generated be the system or assigned by specialist physicians. A prototype e-health platform which incorporates all these healthcare attributes is designed, implemented, and its end-to-end functionality is tested successfully with the aid of NHS collaborators.
Keywords :
Internet of Things; diseases; health care; human-robot interaction; humanoid robots; medical robotics; patient care; portals; sensors; service robots; social aspects of automation; NHS collaborators; T1DM; Web-of-Things inspired e-health platform; WoT; end-to-end functionality; health Web-portal layer; health care systems; humanoid robot; integrated diabetes care management; long-term behavioral change; long-term social change; medical sensors; network infrastructure; patient data monitoring; patient-robot interactions; physical layer; physical sensor layer; prototype e-health platform; real-time decisions; remote data collection; type 1 diabetes mellitus self-management; wireless nodes; Browsers; Diabetes; Monitoring; Portals; Robots; Sugar; Behavioural change support; Web-of-Things (WoT); diabetes; mobile health; patient monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Electrical Engineering and Computing Technologies (AEECT), 2013 IEEE Jordan Conference on
Conference_Location :
Amman
Print_ISBN :
978-1-4799-2305-2
Type :
conf
DOI :
10.1109/AEECT.2013.6716427
Filename :
6716427
Link To Document :
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