Support self management:assistive technology to support people with chronic disease

Authors: Huiru Zheng, Chris Nugent, Paul McCullagh, Yan Huang, Shumei Zhang, William Burns, Richard Davies, Norman Black,

Peter Wright, Sue Mawson, Christopher Eccleston, Mark Hawley and Gail Mountain

Published by:Journal of Telemedicine and Telecare

Year of publication: 2010

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.

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

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Uploaded on 2015-09-02 09:04:55

· Communication
· Connected Health
· Mobile Technologies
· Smart Homes & Environmental Controls

· Assistive Technology
· Telecare
· Self-management