Smart health vital signs from the smart home

M. Skubic
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引用次数: 2

Abstract

Dr. Skubic will describe interdisciplinary research in the Center for Eldercare and Rehabilitation Technology at the University of Missouri. Longitudinal research studies with inhome sensing systems have shown that the sensors offer new vital signs for detecting early signs of illness and functional decline. This talk will focus on in-home gait and balance as vital signs for monitoring health status. Dr. Skubic will discuss the significance of gait in tracking cognitive and physical health problems and will illustrate the capture of gait through different Smart Home sensor modalities (vision, radar, and depth images). Gait and fall alerts will be included, with case studies shown from senior homes. The talk will also include a discussion of the strategies used in this work to address research challenges such as collecting data, validating algorithms, and correlating gait parameters to health status. Finally, Dr. Skubic will discuss one approach to Closing the Loop in the form of an interactive interface to facilitate remote physical therapy.
智能健康生命体征来自智能家居
斯库比克博士将介绍密苏里大学老年护理和康复技术中心的跨学科研究。对家庭传感系统的纵向研究表明,传感器为检测疾病和功能衰退的早期迹象提供了新的生命体征。本讲座将着重于家庭步态和平衡作为监测健康状况的重要指标。Skubic博士将讨论步态在跟踪认知和身体健康问题中的重要性,并将说明通过不同的智能家居传感器模式(视觉、雷达和深度图像)捕获步态。步态和跌倒警报将包括在内,并展示来自养老院的案例研究。讲座还将包括讨论在这项工作中使用的策略,以解决研究挑战,如收集数据,验证算法,以及将步态参数与健康状态相关联。最后,Skubic博士将讨论一种以互动界面的形式实现闭环的方法,以促进远程物理治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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