{"title":"aTUG:使用环境传感器技术的全自动定时启动和运行评估","authors":"T. Frenken, Björn Vester, M. Brell, A. Hein","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.245985","DOIUrl":null,"url":null,"abstract":"A novel approach to fully automating the Timed Up & Go (TUG) assessment test in professional and domestic environments is presented. The approach, called aTUG, is based on the usage of ambient sensor technologies i.e. two light barriers, four force sensors, and a laser range scanner built into a single apparatus i.e. a chair. aTUG supports execution and documentation of traditional TUG and enhanced component-based TUG. aTUG defines five components: Standing up, walking there, turning, walking back, and sitting down. Algorithms for detection of those components and for computation of their duration and the duration of the whole TUG are presented. An experiment with five elderly patients aged 74-91 years, four female, one male, most multi-morbid has been conducted in a residential care facility in Oldenburg, Germany. Results of the experiment show that aTUG can reliably and precisely measure total duration of TUG and durations of the single components with mean error of only 0.05 seconds and mean standard deviation of 0.59 seconds using especially its force and range measurements. German patent is pending for the presented approach.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":"{\"title\":\"aTUG: Fully-automated timed up and go assessment using ambient sensor technologies\",\"authors\":\"T. Frenken, Björn Vester, M. Brell, A. Hein\",\"doi\":\"10.4108/ICST.PERVASIVEHEALTH.2011.245985\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel approach to fully automating the Timed Up & Go (TUG) assessment test in professional and domestic environments is presented. The approach, called aTUG, is based on the usage of ambient sensor technologies i.e. two light barriers, four force sensors, and a laser range scanner built into a single apparatus i.e. a chair. aTUG supports execution and documentation of traditional TUG and enhanced component-based TUG. aTUG defines five components: Standing up, walking there, turning, walking back, and sitting down. Algorithms for detection of those components and for computation of their duration and the duration of the whole TUG are presented. An experiment with five elderly patients aged 74-91 years, four female, one male, most multi-morbid has been conducted in a residential care facility in Oldenburg, Germany. Results of the experiment show that aTUG can reliably and precisely measure total duration of TUG and durations of the single components with mean error of only 0.05 seconds and mean standard deviation of 0.59 seconds using especially its force and range measurements. German patent is pending for the presented approach.\",\"PeriodicalId\":444978,\"journal\":{\"name\":\"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"45\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.245985\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.245985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
摘要
提出了一种在专业和家庭环境中完全自动化Timed Up & Go (TUG)评估测试的新方法。这种被称为aTUG的方法是基于环境传感器技术的使用,即两个光屏障,四个力传感器和一个激光范围扫描仪内置在一个设备中,即椅子。aTUG支持传统TUG和增强的基于组件的TUG的执行和文档编制。aTUG定义了五个组件:站起来,走到那里,转身,走回去,坐下来。提出了检测这些成分的算法,并计算了它们的持续时间和整个拖船的持续时间。在德国奥尔登堡的一家寄宿护理机构对5名74-91岁的老年患者进行了一项实验,其中4名女性,1名男性,大多数患有多种疾病。实验结果表明,aTUG能够可靠、精确地测量拖曳总持续时间和单组分持续时间,其平均误差仅为0.05秒,平均标准偏差为0.59秒。该方法正在申请德国专利。
aTUG: Fully-automated timed up and go assessment using ambient sensor technologies
A novel approach to fully automating the Timed Up & Go (TUG) assessment test in professional and domestic environments is presented. The approach, called aTUG, is based on the usage of ambient sensor technologies i.e. two light barriers, four force sensors, and a laser range scanner built into a single apparatus i.e. a chair. aTUG supports execution and documentation of traditional TUG and enhanced component-based TUG. aTUG defines five components: Standing up, walking there, turning, walking back, and sitting down. Algorithms for detection of those components and for computation of their duration and the duration of the whole TUG are presented. An experiment with five elderly patients aged 74-91 years, four female, one male, most multi-morbid has been conducted in a residential care facility in Oldenburg, Germany. Results of the experiment show that aTUG can reliably and precisely measure total duration of TUG and durations of the single components with mean error of only 0.05 seconds and mean standard deviation of 0.59 seconds using especially its force and range measurements. German patent is pending for the presented approach.