Cellular telephones measure activity and lifespace in community-dwelling adults: proof of principle.
Cellular telephones measure activity and lifespace in community-dwelling adults: proof of principle.
复制标题
蜂窝电话测量社区居住成年人的活动和生活空间：原理证明。
DOI：
10.1111/j.1532-5415.2010.03267.x
复制
发表时间：
2011
影响因子：
6.3
通讯作者：
Bonasera,StephenJ
中科院分区：
文献类型：
--
作者：
Schenk,AnaKatrin;Witbrodt,BradleyC;Hoarty,CarrieA;CarlsonJr,RichardH;Goulding,EvanH;Potter,JaneF;Bonasera,StephenJ
目的：描述一种系统，该系统使用现成的传感器和电信技术，以一种新的方式连续测量个人的寿命和活动水平。设计：概念验证，包括30，30和21天的三个现场试验。设置：奥马哈，内布拉斯加州，大都市和周围的农村地区。参与者：三名参与者（48岁的男子，33岁的女子，27岁的男子），没有任何功能限制。测量：蜂窝电话被用来检测在家里的位置和在社区的位置，并测量身体活动。在家中，使用手机和蓝牙发射器（信标）以房间级分辨率定位参与者。在家庭之外，使用相同的蜂窝电话和全球定位系统（GPS）技术以社区级别的分辨率定位参与者。结果：该方法具有测量活动和寿命的面效度。更重要的是，该系统可以测量这些指标的空间和时间组织。例如，一个人的寿命是在多个时间间隔内自动计算的。行为时间预算显示人们如何分配时间到特定区域内home.CONCLUSION：移动的监控显示了很大的希望作为一个易于部署的系统，以量化活动和生活空间，功能的重要指标，在社区居住的成年人。
OBJECTIVES:To describe a system that uses off‐the‐shelf sensor and telecommunication technologies to continuously measure individual lifespace and activity levels in a novel way.DESIGN:Proof of concept involving three field trials of 30, 30, and 21 days.SETTING:Omaha, Nebraska, metropolitan and surrounding rural region.PARTICIPANTS:Three participants (48‐year‐old man, 33‐year‐old woman, and 27‐year‐old male), none with any functional limitations.MEASUREMENTS:Cellular telephones were used to detect in‐home position and in‐community location and to measure physical activity. Within the home, cellular telephones and Bluetooth transmitters (beacons) were used to locate participants at room‐level resolution. Outside the home, the same cellular telephones and global positioning system (GPS) technology were used to locate participants at a community‐level resolution. Physical activity was simultaneously measured using the cellular telephone accelerometer.RESULTS:This approach had face validity to measure activity and lifespace. More importantly, this system could measure the spatial and temporal organization of these metrics. For example, an individual's lifespace was automatically calculated across multiple time intervals. Behavioral time budgets showing how people allocate time to specific regions within the home were also automatically generated.CONCLUSION:Mobile monitoring shows much promise as an easily deployed system to quantify activity and lifespace, important indicators of function, in community‐dwelling adults.