Prof David Bradley – University of Abertay, Dundee
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 along with the potential for developments such as those of adaptive computing to contribute to improving the interpretation of the data.
Developing a systems and informatics based approach to lifestyle monitoring within eHealth: part I- technology and data management (online).
Developing a systems and informatics based approach to lifestyle monitoring within eHealth: part II- Analysis & Interpretation (online).
Linking recorded data with emotive and adaptive computing in an eHealth environment (online).
School of Computing, Robert Gordon University, St Andrew Street, Aberdeen, Lecture Room C48, 14:15 – 15:15.