Smart self management: assistive technology to support people with chronic disease.
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.
Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Newtownabbey, UK. h.zheng@ulster.ac.uk
Huiru
H
Zheng
Chris
C
Nugent
Paul
P
McCullagh
Yan
Y
Huang
Shumei
S
Zhang
William
W
Burns
Richard
R
Davies
Norman
N
Black
Peter
P
Wright
Sue
S
Mawson
Christopher
C
Eccleston
Mark
M
Hawley
Gail
G
Mountain
D000203:Activities of Daily Living; D002908:Chronic Disease / Q000628:therapy*; D003661:Decision Support Techniques; D006801:Humans; D008491:Medical Informatics Applications; D012648:Self Care / Q000379:methods*; D012944:Social Support; D017216:Telemedicine / Q000295:instrumentation* / Q000379:methods*; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods*; D014584:User-Computer Interface