Rhythm of daily living and detection of atypical days for elderly people living alone as determined with a monitoring system
Rhythm of daily living and detection of atypical days for elderly people living alone as determined with a monitoring system
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DOI：
10.1258/135763306777488780
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发表时间：
2006-01-01
影响因子：
4.7
通讯作者：
Izumi, Shin-Ichi
中科院分区：
文献类型：
--
作者：
Suzuki, Ryoji;Ogawa, Mitsuhiro;Izumi, Shin-Ichi
我们已发展一套系统，以监察家居长者的健康。红外线和其他传感器的输出是使用安装在家中的个人计算机（PC）上的监控程序以1 Hz的采样率收集的。每天一次，数据通过互联网使用有线电视（TV）连接传输到服务器。对一名老年受试者进行为期12天的基线监测，并完成有关其活动的每日问卷调查。这使我们能够识别日常生活的节奏（睡眠，23：00-04：59;起床/早餐，05：00-08：59;室内活动/外出，09：00-16：59;晚餐/上床睡觉，17：00-22：59）和房间传感器的平均输出。然后对受试者进行了另外六个月的监测。通过识别超出平均值+/- 3SD限值的探头输出计数，我们能够检测到非典型天数。在六个月的监测期间，发现了29个非典型日。我们认为，监测系统可能是有效的远程康复。
We have developed a system for monitoring the health of elderly people living at home. Infrared and other sensor outputs are collected using a monitoring program installed on a personal computer (PC) in the home at a sampling rate of 1 Hz. Once each day, the data are transferred to a server through the Internet using a cable television (TV) connection. An elderly subject was monitored for a 12-day baseline period and completed a daily questionnaire about her activities. This enabled us to identify the rhythm of daily living (sleeping, 23:00-04:59; getting up/breakfast, 05:00-08:59; indoor activities/going out, 09:00-16:59; and dinner/going to bed, 17:00-22:59) and the average outputs from the sensors in the rooms. The subject was then monitored for a further six months. By identifying sensor output counts outside the limits of mean +/- 3SD, we were able to detect atypical days. During the six-month monitoring period, 29 atypical days were detected. We suggest that the monitoring system may be effective in tele-rehabilitation.