TOTALCARE:a digital health-care framework integrating secure personal monitoring with P2P medical condition community support focused on ageing &obese

TOTALCARE：一个数字医疗保健框架，将安全的个人监控与针对老龄化的 P2P 医疗状况社区支持相结合

• 批准号: TS/H000143/1
• 负责人: Andrew Hunter
• 金额: $ 16.5万
• 依托单位: University of Lincoln
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=TS%2FH000143%2F1
• 关键词: TOTALCARE; digital; health; care; framework

The University of Lincoln specializes in the interpretation of sensor data, to detect and track human subjects, and to identify the pose of the body (e.g. sitting or lying prone). Lincoln and e2v technologies (the industrial partner providing the novel sensor technology) work closely together on the development of smart sensors that perform such analysis, and transmit such information to a central hub. Lincoln's first key task, in conjunction with e2v technologies, is to develop the algorithms to integrate this tracking with the new sensor systems.Lincoln also has a record of research in the development of computer algorithms that analyze the behavior of a subject for assistive care purposes, based on the subject's location and movement. In this part of the project Lincoln will build upon this experience to develop algorithms that can identify specific causes of concern in the behavior of the subject (e.g. if the subject becomes inactive for an unusually long period of time, is prone, or is agitated), or if the behavior is unusual (perhaps indicating confusion or distress). This information can be used to alert or inform carers.Similarly, Lincoln will develop algorithms to identify causes for concern in the pattern of behavior of obese patients, including the integration of information gathered both inside and outside the home.The performance of these algorithms will be tested in a home environment.

林肯大学专门研究传感器数据的解释，以检测和跟踪人类受试者，并识别身体的姿势（例如坐着或俯卧）。林肯和e2v技术公司（提供新型传感器技术的工业合作伙伴）密切合作，开发智能传感器，执行此类分析，并将此类信息传输到中央集线器。林肯的第一个关键任务，结合e2v技术，是开发算法，将这种跟踪与新的传感器系统相结合。林肯也有一个研究记录，在开发计算机算法，分析一个对象的行为，以辅助护理的目的，基于对象的位置和运动。在该项目的这一部分中，林肯将在此经验的基础上开发算法，该算法可以识别受试者行为中引起关注的特定原因（例如，受试者是否在异常长的时间内变得不活跃，倾向于或焦虑），或者行为是否不寻常（可能表明困惑或痛苦）。这些信息可用于提醒或通知护理人员。同样，林肯将开发算法，以确定肥胖患者行为模式中的关注原因，包括整合家庭内外收集的信息。这些算法的性能将在家庭环境中进行测试。

项目成果

Low-power and efficient ambient assistive care system for elders

低功耗、高效的老年人环境辅助护理系统

• DOI: 10.1109/cvprw.2011.5981824
• 发表时间: 2011
• 作者: Appiah K