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

被引:1
作者
Zheng, Huiru [1 ]
Nugent, Chris [1 ]
McCullagh, Paul [1 ]
Huang, Yan [1 ]
Zhang, Shumei [1 ]
Burns, William [1 ]
Davies, Richard [1 ]
Black, Norman [1 ]
Wright, Peter [2 ]
Mawson, Sue [3 ]
Eccleston, Christopher [4 ]
Hawley, Mark [5 ]
Mountain, Gail [5 ]
机构
[1] Univ Ulster, Comp Sci Res Inst, Sch Comp & Math, Newtownabbey BT37 0QB, North Ireland
[2] Sheffield Hallam Univ, Arts & Design Res Ctr, Sheffield S1 1WB, S Yorkshire, England
[3] Sheffield Hallam Univ, Ctr Hlth & Social Care Res, Sheffield S1 1WB, S Yorkshire, England
[4] Univ Bath, Ctr Pain Res, Bath BA2 7AY, Avon, England
[5] Univ Sheffield, Sch Hlth & Related Res, Sheffield S10 2TN, S Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1258/jtt.2010.004017
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:224 / 227
页数:4
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