Center for Reliable Sensor Technology-Based Outcomes for Rehabilitation (RESTORE)
基于可靠传感器技术的康复成果中心 (RESTORE)
基本信息
- 批准号:10645099
- 负责人:
- 金额:$ 82.79万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-05-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Mobile technology is poised to revolutionize rehabilitation research, but the infrastructure and training to
support researchers in designing effective studies, collecting and analyzing data, and translating findings to
improve care has not kept pace with the mobile technology industry. Our Center for Reliable Sensor
Technology-Based Outcomes for Rehabilitation (RESTORE Center) will establish vital research infrastructure
and training that enables rehabilitation scientists to use mobile sensors to monitor a diverse set of real-world
outcomes. We will accomplish this by integrating expertise from bioengineering, statistics, computer science,
mobile health, and clinical rehabilitation. Our mission is to launch a world-wide collaboration involving hundreds
of researcher teams to collect and share real world data on rehabilitation outcomes. To achieve this, we will:
1. Provide state-of-the-art software to convert wearable sensor data into meaningful outcome metrics,
create a data sharing repository with a vast set of movement and outcome data, and develop advanced
data science tools to gain insight from real-world rehabilitation datasets.
2. Train thousands of rehabilitation scientists to use mobile technology for research through bootcamps,
conference-based tutorials, an online knowledgebase, and massive open online courses.
3. Attract and train talented scholars from physical therapy, physiatry, computer science, biomechanics,
and other fields to become experts in mobile technology and the needs of the rehabilitation community.
4. Award 65 seed grants to innovative and meritorious projects to accelerate the use of mobile technology
in rehabilitation research and advance patient care.
5. Encourage the appropriate use of mobile technology in rehabilitation research and foster
interdisciplinary collaborations through a multi-faceted promotion effort. Our broad outreach program
will expand the group of over 14,000 researchers who are currently using our resources.
6. Establish a cohesive, vibrant, and sustainable Medical Rehabilitation Research Resource Center
through the leadership of an experienced executive team that will manage the Center’s activities.
By providing high-quality, in-demand, and open-source software tools, our Center will enable a collaboration of
unprecedented scale between bioengineers, physical therapists, computer scientists, patients, physicians, and
others focused on rehabilitation. Our training efforts will create a new generation of rehabilitation scientists who
are fluent in the strengths and challenges of mobile technology. Our Center will be run by a tightly integrated
clinical and engineering team, enabling us to appreciate the needs and goals of patients, recruit participants to
our studies, and rapidly create valuable new technology. Together with the RESTORE Center community, we
will achieve the potential of mobile technology to monitor real world function and improve care for conditions
including stroke, Parkinson’s disease, osteoarthritis, frailty, cerebral palsy, and low back pain.
移动技术被毒化为彻底改变康复研究,但基础设施和培训
支持研究人员设计有效的研究,收集和分析数据,并将发现转化为
改善护理尚未与移动技术行业保持同步。我们可靠的传感器中心
基于技术的康复结果(恢复中心)将建立重要的研究基础设施
和培训使康复科学家能够使用移动传感器来监视各种各样的现实世界
结果。我们将通过整合来自生物工程,统计,计算机科学的专业知识来实现这一目标
移动健康和临床康复。我们的使命是启动一项涉及数百个世界的全球合作
研究人员团队收集和分享有关康复结果的现实世界数据。为了实现这一目标,我们将:
1。提供最先进的软件以将可穿戴传感器数据转换为有意义的结果指标,
使用大量移动和结果数据创建数据共享存储库,并开发高级
数据科学工具可从现实世界的康复数据集中获得见解。
2。培训成千上万的康复科学家使用移动技术通过训练营进行研究,
基于会议的教程,在线知识库和大规模的在线课程。
3。从物理疗法,生理学,计算机科学,生物力学,吸引和培训才华横溢的学者,
以及其他领域成为移动技术和康复社区需求的专家。
4。授予65种子赠款,以加速移动技术的创新和有功项目
在康复研究和提高患者护理方面。
5。鼓励适当使用移动技术在康复研究中
跨学科的合作通过多方面的促销工作。我们广泛的外展计划
将扩大目前正在使用我们资源的14,000多名研究人员组成的小组。
6.建立一个凝聚力,充满活力和可持续的医疗康复研究资源中心
通过一个经验丰富的执行团队的领导,该团队将管理中心的活动。
通过提供高质量的,需求和开源软件工具,我们的中心将实现合作
生物工程师,物理治疗师,计算机科学家,患者,医生和
其他人则专注于康复。我们的培训工作将创造新一代的康复科学家
流利的移动技术的优势和挑战。我们的中心将由紧密整合的
临床和工程团队,使我们能够欣赏患者的需求和目标,招募参与者
我们的研究,并迅速创造了有价值的新技术。与Restore Center社区一起,我们
将实现移动技术的潜力来监控现实世界的功能并改善条件的护理
包括中风,帕金森氏病,骨关节炎,脆弱,脑瘫和腰痛。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Open-Source and Wearable System for Measuring 3D Human Motion in Real-Time.
- DOI:10.1109/tbme.2021.3103201
- 发表时间:2022-03
- 期刊:
- 影响因子:0
- 作者:Slade P;Habib A;Hicks JL;Delp SL
- 通讯作者:Delp SL
Non-invasive electrical stimulation of peripheral nerves for the management of tremor.
- DOI:10.1016/j.jns.2022.120195
- 发表时间:2022-04-15
- 期刊:
- 影响因子:4.4
- 作者:Pascual-Valdunciel, Alejandro;Rajagopal, Apoorva;Pons, Jose L.;Delp, Scott
- 通讯作者:Delp, Scott
OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations.
- DOI:10.1186/s12984-022-01001-x
- 发表时间:2022-02-20
- 期刊:
- 影响因子:5.1
- 作者:Al Borno M;O'Day J;Ibarra V;Dunne J;Seth A;Habib A;Ong C;Hicks J;Uhlrich S;Delp S
- 通讯作者:Delp S
AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization.
AddBiomechanics:通过顺序优化,根据人体运动数据自动进行模型缩放、逆运动学和逆动力学。
- DOI:10.1101/2023.06.15.545116
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Werling,Keenon;Bianco,NicholasA;Raitor,Michael;Stingel,Jon;Hicks,JenniferL;Collins,StevenH;Delp,ScottL;Liu,CKaren
- 通讯作者:Liu,CKaren
Assessing inertial measurement unit locations for freezing of gait detection and patient preference.
- DOI:10.1186/s12984-022-00992-x
- 发表时间:2022-02-13
- 期刊:
- 影响因子:5.1
- 作者:O'Day J;Lee M;Seagers K;Hoffman S;Jih-Schiff A;Kidziński Ł;Delp S;Bronte-Stewart H
- 通讯作者:Bronte-Stewart H
共 5 条
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SCOTT L DELP的其他基金
Mobilize Center: Models for Mobile Sensing and Precision Rehabilitation
移动中心:移动传感和精准康复模型
- 批准号:1083969410839694
- 财政年份:2020
- 资助金额:$ 82.79万$ 82.79万
- 项目类别:
Center for Reliable Sensor Technology-Based Outcomes for Rehabilitation (RESTORE)
基于可靠传感器技术的康复成果中心 (RESTORE)
- 批准号:1040558510405585
- 财政年份:2020
- 资助金额:$ 82.79万$ 82.79万
- 项目类别:
Measure: Biomechanics via Wearable Sensors
测量:通过可穿戴传感器进行生物力学
- 批准号:1058147010581470
- 财政年份:2020
- 资助金额:$ 82.79万$ 82.79万
- 项目类别:
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