Smart self management : assistive technology to support people with chronic disease.

ZHENG, H, NUGENT, C, MCCULLAGH, P, HUANG, Y, BURNS, W, DAVIES, R, BLACK, N, WRIGHT, Peter, MAWSON, Sue, ECCLESTON, C, HAWLEY, M and MOUNTAIN, Gail (2010). Smart self management : assistive technology to support people with chronic disease. Journal of Telemedicine and Telecare, 16 (4), 224-227.

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Abstract

We have developed a personalised self management system to support self management of chronic conditions with support from health-care professionals. Accelerometers are used to measure gross levels of activity, for example walking around the house, and used to infer higher level activity states, such as standing, sitting and lying. A smart phone containing an accelerometer and a global positioning system (GPS) module can be used to monitor outdoor activity, providing both activity and location based information. Heart rate, blood pressure and weight are recorded and input to the system by the user. A decision support system (DSS) detects abnormal activity and distinguishes life style patterns. The DSS is used to assess the self management process, and automates feedback to the user, consistent with the achievement of their life goals. We have found that telecare and assistive technology is feasible to support self management for chronic conditions within the home and local community environments.

Item Type:	Article
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Centre for Health and Social Care Research
Identification Number:	https://doi.org/10.1258/jtt.2010.004017
Page Range:	224-227
Depositing User:	Rebecca Jones
Date Deposited:	18 Jan 2012 15:49
Last Modified:	18 Mar 2021 10:00
URI:	https://shura.shu.ac.uk/id/eprint/4313

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