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Measuring sit-to-stand timing variability over time using under mattress pressure sensor technology

机译:使用床垫压力传感器技术测量随时间变化的坐姿到站姿

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摘要

Getting out of bed is a fundamental activity of daily living and one that supports independent living. Under mattress pressure sensor technology represents a way to monitor changes in this basic but critical mobility task among older adults at risk of institutionalization. However, little is known about normal variations in this ability over time in the home context. This study used under mattress pressure sensors to measure and analyze the variability of sit-to-stand (STS) timing in a community-dwelling older adult. A pressure-sensitive mat was installed in the participant’s home and left in place to collect information over a period of nine months. A processing algorithm was developed to extract the STS phase of the first morning bed exit from which STS time could be measured. STS timing data were visualized using a histogram and analyzed for trends over the extended period using nonparametric regression and wavelet analysis. Results indicate that the analytical methods used were able to identify trends in STS timing as well as highlight deviations. The ability to collect and analyze the variability of STS timing using this pressure sensitive technology combined with the analysis methodology provides clinicians with a way to assess mobility remotely in the home setting.
机译:起床是日常生活的一项基本活动,是支持独立生活的一项活动。在褥垫下,压力传感器技术代表了一种方法,可以监视处于机构收容危险中的老年人这一基本但至关重要的行动任务的变化。但是,对于家庭环境中此功能随时间的正常变化知之甚少。这项研究在床垫压力传感器下使用,以测量和分析社区居住的老年人中从站到站(STS)时间的变化。在参与者的家中安装了压敏垫,并将其放置在适当的位置以收集为期9个月的信息。开发了一种处理算法来提取第一个晨床出口的STS阶段,从中可以测量STS时间。使用直方图可视化STS时序数据,并使用非参数回归和小波分析分析扩展期间的趋势。结果表明,所使用的分析方法能够确定STS时序的趋势以及突出显示的偏差。使用这种压敏技术与分析方法相结合,能够收集和分析STS计时的变化性,这为临床医生提供了一种在家中远程评估移动性的方法。

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