• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >A Model Based Framework for Mobility Assessment of Older Adults Using Wearable Systems
【24h】

A Model Based Framework for Mobility Assessment of Older Adults Using Wearable Systems

机译：基于模型的可穿戴系统老年人活动能力评估框架

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

Assessment of mobility in older adults is important for early detection and prevention of falls. The Timed Up and Go (TUG) and the 30 Second Chair Stand (30SCS) tests are recom-mended and routinely used for assessing overall mobility, but they provide a single parameter to quantify mobility. These tests are still subjective and prone to errors. Therefore, we need cost effective new diagnostic procedures that provide more detailed assessment parameters related to fall risks. Modern smartphones enable the development of new mobile health (mHealth) appli-cations by integrating inertial and environmental sensors along with the increasing data pro-cessing and communication capabilities. We developed a suite of smartphone applications for assessing mobility to automate and quantify the TUG test, the 30SCS test and the 4-Stage-Balance test (4SBT). We developed a personalized three-segment control model that quantifies torques/forces during sit-to-stand (S2ST) posture transitions, and assesses optimality of each S2ST transition using inputs from smartphone's inertial sensors. The model assesses energy expenditure using action, defined as an integral of mechanical energy over time during the transition. We demonstrated that the theoretical optimal transition time can be determined for each person by finding the minimum action using a personalized dynamic model. We proposed additional methods of assessment of stability using spectral and harmonic analysis of signals during walking in the TUG test. We tested the model by evaluating optimum action and opti-mum S2ST transition time for a group geriatric patients undergoing a mobility improvement program by comparing their performance with the optimum performance generated by the model.
机译：评估老年人的活动能力对于及早发现和预防跌倒很重要。建议使用“定时起跑（TUG）”和“ 30秒椅子站立（30SCS）”测试，这些测试通常用于评估整体移动性，但是它们提供了一个量化移动性的参数。这些测试仍然是主观的，并且容易出错。因此，我们需要具有成本效益的新诊断程序，以提供与跌倒风险相关的更详细的评估参数。现代智能手机通过集成惯性传感器和环境传感器以及不断增长的数据处理和通信功能，实现了新的移动健康（mHealth）应用程序的开发。我们开发了一套智能手机应用程序，用于评估移动性以自动化和量化TUG测试，30SCS测试和4级平衡测试（4SBT）。我们开发了个性化的三段式控制模型，该模型可量化从坐到站（S2ST）姿势过渡期间的扭矩/力，并使用智能手机惯性传感器的输入来评估每个S2ST过渡的最优性。该模型使用动作来评估能量消耗，该动作定义为过渡期间随时间变化的机械能的一部分。我们证明，通过使用个性化动态模型找到最小动作，可以为每个人确定理论上的最佳过渡时间。我们提出了在TUG测试过程中使用信号频谱和谐波分析来评估稳定性的其他方法。我们通过评估一组行动力改善计划中的老年患者的最佳动作和最佳S2ST过渡时间来测试该模型，方法是将他们的表现与模型产生的最佳表现进行比较。

著录项

  • 作者

    Madhushri, Priyanka.;

  • 作者单位

    The University of Alabama in Huntsville.;

  • 授予单位 The University of Alabama in Huntsville.;
  • 学科 Electrical engineering.;Computer engineering.;Biomedical engineering.;Engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 147 p.
  • 总页数 147
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TS97-4;
  • 关键词

  • 入库时间 2022-08-17 11:38:23

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