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:10263918
- 负责人:
- 金额:$ 37.7万
- 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
- 来源:
- 关键词:AnkleAttentionAuditoryCaregiversCharacteristicsCuesData AnalyticsDevelopmentEngineeringGaitGait speedHip region structureHumanImpairmentIndividualInstructionKnowledgeLeadLengthLongevityMidbrain structureMovementParkinson DiseasePerformancePersonsPhysical therapyPrevalenceProcessRegulationResearchRoboticsScienceSocietiesSubstantia nigra structureSystemTechnologyTestingTextilesTimeValidationVisionVisualbasecognitive loadcommunity settingcyber physicaldesigndopaminergic neuronexoskeletonhapticshuman subjecthuman-in-the-loopimprovedlight weightnovelpreventrobot exoskeletonsensorwearable sensor technology
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.
这项跨学科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一种机器人服装-人在环CPS
帕金森病(PD)患者运动自律性和同步性的恢复
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,并将此传达给佩戴者和他们的照顾者。这个
预计到2030年,帕金森病的患病率将翻一番,达到900万人。大鼠脑内多巴胺能神经元的变性
中脑的黑质导致步态正常的内部提示机制的丧失
导致步长调节受损,步速减慢,节奏和步态时间改变
可变性。机器人服装科学-人在环CPS:假设是具有
PD可能受益于机器人服装CPS,该CPS能够为臀部/脚踝提供持续的身体提示
在不增加认知负荷的同时,防止步态恶化。听觉、视觉和言语暗示
在调节帕金森病患者的步态特征方面表现出了希望,但需要注意,因此
干扰日常活动。相比之下,机器人服装CP将以一种更少的方式做到这一点
可以察觉到。机器人服装人在环CPS技术要求
实现所提出的机器人服装CPS视觉所需的驱动、传感器和功能服装
不同于传统的外骨骼,需要基础技术的发展来
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
在人体受试者测试中的最终验证。的迭代开发过程
驱动/纺织/控制部件将基于知识指导下的目标规格
从正在进行的人体试验中获得。
相关性(请参阅说明):
与人类互动的网络物理系统正变得越来越常见,并已
具有巨大的社会潜力。我们认为帕金森氏症患者可能受益于一种
能够为臀部/脚踝提供连续身体提示的机器人服装,以防止步态
在不增加认知负荷的情况下恶化。
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:
10009491 - 财政年份:2018
- 资助金额:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 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:
$ 37.7万 - 项目类别:
Standard Grant














{{item.name}}会员




