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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/1054

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Title: Developing a systems and informatics based approach to lifestyle monitoring within eHealth: part II - analysis & interpretation
Authors: Brownsell, Simon
Bradley, David A.
Cardinaux, Fabien
Hawley, Mark
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Computerised monitoring
Health information management
Machine intelligence
Public healthcare
Issue Date: 27-Jul-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Type: Conference Paper
Refereed: peer-reviewed
Rights: This is the author's final version of this conference paper. Published version (c)IEEE
Citation: Brownsell, S., et al. 2011. Developing a systems and informatics based approach to lifestyle monitoring within eHealth: part II - analysis & interpretation. In: 1st IEEE Conference on Healthcare Informatics, Imaging and Systems Biology, San Jose, California, 26-29 July, 2011
Abstract: Lifestyle monitoring as a subset of telecare sets out to use information derived from a range of sensors to put in place a profile of individual behaviour against which changes in behaviour can be compared and referenced to detect variations indicative of a change in health status and need. Based on their research, the authors suggest that in order for lifestyle monitoring to develop, there is a need to more fully understand the way in which such systems operate and how the various aspects such as data collection through to analysis and interpretation come together. The paper therefore presents elements of a system structure for lifestyle monitoring and shows how this structure can incorporate a range of approaches to interpretation and analysis, illustrating this with reference to practical trials involving numeric, analytic and statistical methods as well as a machine learning based approach.
URI: http://hdl.handle.net/10373/1054
Appears in Collections:Computing & Engineering Systems Collection

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