Kafalı, Özgur, Bromuri, Stefano, Sindlar, Michal, van der Weide, Tom, Aguilar Pelaez, Eduardo, Schaechtle, Ulrich, Alves, Bruno, Zufferey, Damien, Rodriguez-Villegas, Esther, Schumacher, Michael Ignaz, and others. (2013) Commodity 12: A smart e-health environment for diabetes management. Journal of Ambient Intelligence and Smart Environments, 5 (5). pp. 479-502. ISSN 1876-1364. (doi:10.3233/AIS-130220) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:65860)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.3233/AIS-130220 |
Abstract
We present the development of COMMODITY12, a Personal Health System (PHS) to assist in the provision of continuous and personalised health services to diabetic patients, thus empowering their lifestyle regardless of their location. COMMODITY12 consists of ambient, wearable and portable devices, which acquire, monitor and communicate physiological parameters and other health-related context of an individual, such as physical activity and vital body signals. This data is interpreted by intelligent agents that use expert biomedical knowledge to derive important insights about the individual's health status, which are then presented in the form of active feedback to the patient directly from the device, or via health professionals who assist in diagnosis, treatment and life management. The emphasis of the work is on the design of the PHS in terms of its main components, their integration and deployment to address major problems of interest to both diabetic patients and doctors that treat diabetes.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.3233/AIS-130220 |
| Uncontrolled keywords: | Personal health systems, agent technology, diabetes management, interoperability |
| Subjects: |
Q Science > Q Science (General) > Q335 Artificial intelligence Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems) R Medicine > R Medicine (General) > R119.9 Medical telecommunication. Television in medicine |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Depositing User: | Ozgur Kafali |
| Date Deposited: | 02 Feb 2018 14:45 UTC |
| Last Modified: | 05 Nov 2024 11:04 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/65860 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Kafalı, Özgur.
| Creator's ORCID: |
 https://orcid.org/0000-0001-9296-2087
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|---|---|
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