Title :
Distributed intelligent nodes as information filters in advanced telecare systems
Author :
Williams, G. ; Doughty, K. ; Bradley, D.A.
Author_Institution :
Telemed. Res. Group, Univ. of Wales, Bangor, UK
Abstract :
The next generation of telecare systems will need to monitor and process vast amounts of personal data. These data might include both medical and lifestyle (or behavioural) information which may be highly sensitive. There is general unease with the concept of such data streaming out of the home on a regular basis without the knowledge of the client. The CarerNet model is being developed with a distributed intelligence approach which can be used to manage and control the flow of personal data. By establishing a hierarchical layering of information zones based on intelligent nodes within the home, and by agreeing with the client a set of circumstances which warrant external intervention, it is possible to filter the now of sensitive information between such zones. This reduces the intrusion while minimising the quantity of data and the errors transmitted throughout the system
Keywords :
deductive databases; health care; intelligent sensors; medical information systems; telemedicine; CarerNet model; advanced telecare systems; behavioural information; data quantity; distributed intelligence approach; distributed intelligent nodes; errors; external intervention; hierarchical layering; information filters; information zones; intrusion; lifestyle information; medical information; personal data monitoring; personal data processing; Biomedical engineering; Biomedical monitoring; Bridges; Data engineering; Data privacy; Delay; Information filtering; Information filters; Medical services; Telemedicine;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.803858