• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of ambient intelligence and smart environments >Combining wearable sensors for location-free monitoring of gait in older people
【24h】

Combining wearable sensors for location-free monitoring of gait in older people

机译：结合可穿戴式传感器，可对老年人的步态进行无位置监控

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Falls are a major cause of injury and fatality among the older population and the use of wearable sensors to quantify key metrics relating to gait and motor function in order to evaluate potential falls risk are increasing in use. However, one of the problems with current use of quantitative gait data to evaluate falls risk is that it is still tied to a relatively controlled deployment model due to lack of effective methods to label and segment gait data that could be acquired over a long term basis in the uncontrolled home and community setting. This means that we cannot evaluate the potentially powerful impact of environmental factors on gait and motor function in the home and community. In this paper we present a conceptual approach to solving this problem by combining inertial sensing methods for quantitative gait analysis with life logging, using other wearable sensors and a wearable camera that automatically record a wearer's contexts, at all times. Using the system, a clinician can use both gait data and lifelog data to mutually index each other to enable a more thorough exploration of data and a greater understanding of the impact of environment on gait function and subsequent falls risk. We also present a single case study of a long term deployment using a prototype of the system, with feedback from an experienced clinician, to illustrate its potential clinical utility.
机译：跌倒是老年人口受伤和死亡的主要原因，使用可穿戴式传感器量化与步态和运动功能有关的关键指标以评估潜在的跌倒风险正在增加。但是，当前使用定量步态数据评估跌倒风险的问题之一是，由于缺乏有效的方法来标记和细分步态数据（可长期获取），该模型仍与相对受控的部署模型相关联在不受控制的家庭和社区环境中。这意味着我们无法评估环境因素对家庭和社区步态和运动功能的潜在强大影响。在本文中，我们提出了一种概念性方法来解决此问题，方法是将惯性传感方法用于定量步态分析和寿命记录相结合，并始终使用其他可穿戴传感器和可自动记录穿戴者背景的可穿戴相机。使用该系统，临床医生可以同时使用步态数据和生命日志数据互相索引，从而可以更全面地探索数据，并更好地了解环境对步态功能的影响以及随后发生跌倒的风险。我们还提供了使用该系统原型进行长期部署的单例研究，并从经验丰富的临床医生那里获得了反馈，以说明其潜在的临床实用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号