Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Newtownabbey, UK.
J Telemed Telecare. 2010;16(4):224-7. doi: 10.1258/jtt.2010.004017.
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.
我们开发了一种个性化的自我管理系统，在医疗保健专业人员的支持下，帮助人们管理慢性病。加速度计用于测量总体活动水平，例如在房子里走动，并用于推断更高层次的活动状态，例如站立、坐着和躺着。智能手机中包含一个加速度计和一个全球定位系统（GPS）模块，可以用来监测户外活动，提供基于活动和位置的信息。心率、血压和体重由用户记录并输入系统。决策支持系统（DSS）检测异常活动并区分生活方式模式。DSS 用于评估自我管理过程，并根据用户实现其生活目标的情况自动向用户提供反馈。我们发现，远程护理和辅助技术可用于在家庭和本地社区环境中支持慢性病的自我管理。
