课题基金 / 基金详情

Quantifying and Reducing Motor Compensation After Stroke in Ambient Settings

Quantifying and Reducing Motor Compensation After Stroke in Ambient Settings
在环境设置中量化和减少冲程后的电机补偿
批准号:
9099369
负责人:
Dustin L. Crouch
金额:
$34.9万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2021-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
 DESCRIPTION (provided by applicant): This project will develop a lightweight, unobtrusive system of wearable sensors capable of monitoring an individual's motion in the home setting, and providing real-time feedback of motion quality. This system will help clinicians monitor changes in functional ability in home settings, and will help patients with neuro-motor deficits t take a more active role in self-care. Such a system is particularly useful for determining if individuals are using compensatory motions after stroke. Compensation describes the use of new limbs and strategies to accomplish tasks previously performed with the stroke affected limb. Such compensation is thought to be maladaptive and may lead to further injury and depressed quality of life. Compensatory strategies likely evolve and are affirmed in the absence of a clinical observer (e.g., at home). Thus, this project aims to (1) develop a technique for quantifying such compensation in the home setting using wearable sensors and (2) evaluate the relative efficacy of two biofeedback-based interventions designed to reduce the use of compensatory strategies at home. These interventions provide the participant with feedback regarding their movement quality, but differ in the style of delivery - one provides internally directed feedback regarding the person's body, and the other provides externally directed feedback regarding the person's environment. If successful, this project may benefit many of the seven million people living with chronic stroke in the United States. Our methodology will utilize a prospective experimental design, and a between-groups human subjects study. We anticipate that both biofeedback based interventions will benefit the participant, but that the internally directed feedback will significantly reduce the use of compensation. The methodology developed and validated in this project may eventually benefit other individuals living with chronic motor deficits.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/embc46164.2021.9629885
发表时间: 2021-11
期刊: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
影响因子: --
作者: [Aaron Miller;Eric Wade]
通讯作者: Aaron Miller;Eric Wade
Comparison of Machine Learning approaches for Classifying Upper Extremity Tasks in Individuals Post-Stroke.
对中风后个体上肢任务进行分类的机器学习方法的比较。
DOI: 10.1109/embc44109.2020.9176331
发表时间: 2020
期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子: --
作者: [Miller,Aaron, Quinn,Lori, Duff,SusanV, Wade,Eric]
通讯作者: Wade,Eric
Muscle-driven, implanted endoprostheses for musculoskeletal limb reconstruction
  • 批准号:
    10261509
  • 项目类别:
  • 资助金额:
    $31.85万
  • 财政年份:
    2020
  • 负责人:
    Dustin L. Crouch
  • 依托单位:
Muscle-driven, implanted endoprostheses for musculoskeletal limb reconstruction
  • 批准号:
    10829993
  • 项目类别:
  • 资助金额:
    $33.17万
  • 财政年份:
    2020
  • 负责人:
    Dustin L. Crouch
  • 依托单位:
Muscle-driven, implanted endoprostheses for musculoskeletal limb reconstruction
  • 批准号:
    10084026
  • 项目类别:
  • 资助金额:
    $33.96万
  • 财政年份:
    2020
  • 负责人:
    Dustin L. Crouch
  • 依托单位:
海外基金