Robotic Apparel to Enable Low Force Haptic Cueing for Improving Parkinson's Gait

机器人服装可实现低力触觉提示以改善帕金森氏症步态

基本信息

  • 批准号:
    10009491
  • 负责人:
  • 金额:
    $ 31.73万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-15 至 2022-08-31
  • 项目状态:
    已结题

项目摘要

This cross-disciplinary research involving cyber-physical systems (CPS), wearable robotics, physical therapy and functional apparel aims to design and validate a robotic apparel human-in-the-loop CPS for restoring automaticity and synchronization of movement for individuals with Parkinson's disease (PD) in community settings. Additionally, integrated wearable sensors will facilitate data analytics to assess gait performance during everyday activities and communicate this to the wearer and their caregiver. The prevalence of PD is expected to double to 9 million by 2030. Degeneration of dopaminergic neurons in the substantia nigra of the midbrain lead to a loss of the normal internal cueing mechanism for gait that leads to impaired regulation of stride length, reduced gait speed, altered cadence and stride time variability. Science of Robotic Apparel Human-in-the-Loop CPS: The hypothesis is that individuals with PD may benefit from a robotic apparel CPS able to provide continuous physical cueing to the hip/ankle to prevent gait from deteriorating while not imparting a cognitive load. Auditory, visual and verbal cues have shown promise in regulating gait characteristics of persons with PD but require attention, thus interfering with daily activities. In contrast, a robotic apparel CPS will do so in a manner that is less perceptible. Technology for Robotic Apparel Human-in-the-Loop CPS: The technical requirements for actuation, sensors, and functional apparel needed to realize the proposed robotic apparel CPS vision are different than those for traditional exoskeletons, necessitating fundamental technological development to enable systems that can deliver small physical cues to a wearer through lightweight, comfortable and nonrestrictive platform. Engineering of Robotic Apparel Human-in-the-Loop CPS: This project will involve the engineering development of a novel CPS system across its lifespan from initial conceptual design to eventual validation in human subjects testing. An iterative development process of actuation/textile/control components will be based on target specifications guided by the knowledge gained from ongoing human subject testing. RELEVANCE (See instructions): Cyber-physical systems that interact with humans are becoming increasingly commonplace and have significant potential for society. We believe that individuals with Parkinson's Disease may benefit from a robotic apparel able to provide continuous physical cueing to the hip/ankle to prevent gait from deteriorating while not imparting a cognitive load.
这种跨学科的研究涉及网络物理系统(CPS),可穿戴机器人,物理 治疗和功能服装旨在设计和验证机器人服装人在环CPS, 恢复帕金森病(PD)患者的自主性和运动同步性, 社区设置。此外,集成的可穿戴传感器将促进数据分析,以评估步态 在日常活动中的表现,并传达给佩戴者和他们的照顾者。的 到2030年,PD的患病率预计将翻一番,达到900万。多巴胺能神经元变性 中脑的黑质导致步态的正常内部提示机制的丧失, 导致步幅调节受损、步态速度降低、节奏和步幅时间改变 可变性机器人服装科学人类在环CPS:假设是,个人与 PD可以受益于机器人服装CPS,该机器人服装CPS能够向髋关节/踝关节提供连续的物理提示, 防止步态恶化,同时不施加认知负荷。听觉、视觉和语言线索 在调节PD患者的步态特征方面显示出希望,但需要注意,因此, 干扰日常活动。相比之下,机器人服装CPS将以更少的方式这样做。 可察觉的机器人服装技术人在环CPS:技术要求 驱动,传感器和功能服装需要实现拟议的机器人服装CPS视觉是 与传统外骨骼不同,需要基础技术的发展, 使系统能够通过轻便、舒适和 非限制性平台机器人服装人在环CPS工程:该项目将涉及 一种新型CPS系统的工程开发,从最初的概念设计到 最终在人体试验中得到验证。一个迭代的开发过程, 驱动/织物/控制组件将基于由知识指导的目标规范 从正在进行的人体试验中获得。 相关性(参见说明): 与人类互动的网络物理系统正变得越来越普遍, 社会的巨大潜力。我们认为,帕金森病患者可能受益于 机器人服装能够为臀部/脚踝提供连续的物理提示,以防止步态 恶化而不给予认知负荷。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Theresa Ellis其他文献

Theresa Ellis的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Theresa Ellis', 18)}}的其他基金

Robotic Apparel to Enable Low Force Haptic Cueing for Improving Parkinson's Gait
机器人服装可实现低力触觉提示以改善帕金森氏症步态
  • 批准号:
    10263918
  • 财政年份:
    2018
  • 资助金额:
    $ 31.73万
  • 项目类别:

相似国自然基金

多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    52 万元
  • 项目类别:
    面上项目

相似海外基金

22 UKRI-SBE: Contextually and probabilistically weighted auditory selective attention: from neurons to networks
22 UKRI-SBE:上下文和概率加权听觉选择性注意:从神经元到网络
  • 批准号:
    BB/X013103/1
  • 财政年份:
    2023
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Research Grant
Mechanisms of auditory selective attention for speech and non-speech stimuli
对言语和非言语刺激的听觉选择性注意机制
  • 批准号:
    10535232
  • 财政年份:
    2023
  • 资助金额:
    $ 31.73万
  • 项目类别:
SBE-UKRI: Contextually and probabilistically weighted auditory selective attention: from neurons to networks
SBE-UKRI:上下文和概率加权听觉选择性注意:从神经元到网络
  • 批准号:
    2414066
  • 财政年份:
    2023
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Standard Grant
Development of test method and hearing aid technology focusing on attention function of patients with auditory processing disorder
专注于听觉处理障碍患者注意力功能的测试方法及助听器技术开发
  • 批准号:
    23K17600
  • 财政年份:
    2023
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Brain Electrical Dynamics for Top-Down Auditory Attention
自上而下听觉注意力的脑电动力学
  • 批准号:
    RGPIN-2019-05659
  • 财政年份:
    2022
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Discovery Grants Program - Individual
Attention and Auditory Scene Analysis
注意力和听觉场景分析
  • 批准号:
    RGPIN-2021-02721
  • 财政年份:
    2022
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Discovery Grants Program - Individual
Parametrization and validation of the N-SEEV Attention Model for Visual and Auditory scenes
视觉和听觉场景的 N-SEEV 注意力模型的参数化和验证
  • 批准号:
    RGPIN-2022-04852
  • 财政年份:
    2022
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Discovery Grants Program - Individual
Nanomaterials Based Dry Electroencephalography Electrodes for Auditory Attention Decoding in Hearing Assistance Devices
基于纳米材料的干式脑电图电极,用于助听设备中的听觉注意力解码
  • 批准号:
    570743-2021
  • 财政年份:
    2022
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Alliance Grants
SBE-UKRI: Contextually and probabilistically weighted auditory selective attention: from neurons to networks
SBE-UKRI:上下文和概率加权听觉选择性注意:从神经元到网络
  • 批准号:
    2219521
  • 财政年份:
    2022
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Standard Grant
Excellence in Research: Incorporating Attention into Computational Auditory Scene Analysis Using Spectral Clustering with Focal Templates
卓越研究:使用带有焦点模板的谱聚类将注意力纳入计算听觉场景分析
  • 批准号:
    2100874
  • 财政年份:
    2021
  • 资助金额:
    $ 31.73万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了