OpenSim Enhancements to Enable Computational Design of Personalized Treatments for Movement Impairments

OpenSim 增强功能可实现针对运动障碍的个性化治疗的计算设计

基本信息

  • 批准号:
    10297893
  • 负责人:
  • 金额:
    $ 62.51万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-06 至 2025-05-31
  • 项目状态:
    未结题

项目摘要

Abstract Osteoarthritis, stroke, spinal cord injury, traumatic brain injury, and amputation affect roughly 19% of the U.S. adult population, with osteoarthritis and stroke being leading causes of serious long-term disability in adults worldwide. Along with other conditions such as cerebral palsy, Parkinson's disease, and orthopedic cancer, these conditions often significantly impair movement, resulting in substantial societal costs, an increased risk of other serious health conditions (e.g., heart disease and diabetes), a reduction or even loss of independence, and a decreased quality of life. Despite the significance of the problem and the uniqueness of each patient, treatment design for movement impairments has not progressed substantially beyond off-the-shelf interventions selected based on subjective clinical judgment. If affected individuals are to recover the most function possible, a paradigm shift is needed toward personalized interventions designed using objective evidence-based methods. This project seeks to develop innovative software technology that will allow engineers working in collaboration with clinicians to design effective personalized interventions for movement impairments using objective physics-based computer models. The software technology will employ the same computer modeling and simulation methods that have revolutionized the design of airplanes and automobiles over the past 25 years. The proposed software will create a virtual representation of the patient and then apply virtual treatments to the virtual patient to identify the treatment design that is most likely to maximize recovery of lost function. Virtual patient models will obey laws of physics and principles of physiology to reflect how the patient moves before treatment and predict how the patient will move after treatment. To enable fast and easy construction of patient models and optimization of patient functional outcomes, the software technology will be incorporated into the NIH-funded OpenSim software for modeling and simulation of human movement. To support development and adoption of the proposed software, the project will also use the software to design personalized interventions for three individuals post-stroke with impaired, asymmetric walking function. The research team will organize a three-year “Stroke Grand Challenge Competition,” held each year at the same professional conference, to engage the research community in model-based personalized treatment design. An extensive human movement data set will be collected from each subject to be used for constructing a virtual model of the subject. Competing research teams will use the software and the subject's virtual model to design personalized treatments that improve the subject's walking symmetry. In addition, the research team will use the new software to develop its own personalized intervention designs for the same subjects. Any clinically promising interventions identified by either competition participants or the research team will be implemented on the same subjects in a follow-on project to evaluate their efficacy.
摘要 骨关节炎、中风、脊髓损伤、创伤性脑损伤和截肢影响了大约19%的美国人。 成人人群,骨关节炎和中风是成人严重长期残疾的主要原因 国际吧沿着其他疾病,如脑瘫、帕金森病和骨科癌症, 这些疾病通常严重损害运动,导致巨大的社会成本, 其他严重的健康状况(例如,心脏病和糖尿病),减少甚至丧失独立性, 生活质量下降。尽管问题的重要性和每个病人的独特性, 运动障碍的治疗设计尚未取得实质性进展, 根据主观临床判断选择干预措施。如果受影响的人要恢复最多 功能可能,需要向使用目标设计的个性化干预措施进行范式转变 循证方法。 该项目旨在开发创新的软件技术,使工程师能够在 与临床医生合作,设计针对运动障碍的有效个性化干预措施, 基于客观物理的计算机模型。软件技术将采用相同的计算机建模 在过去25年里, 年拟议的软件将创建患者的虚拟表示,然后应用虚拟 治疗,以确定最有可能最大限度地恢复损失的治疗设计。 功能虚拟患者模型将遵守物理定律和生理学原理,以反映患者如何 在治疗前移动,并预测患者在治疗后将如何移动。为了实现快速和轻松 构建患者模型和优化患者功能结果,软件技术将 它被整合到NIH资助的OpenSim软件中,用于人体运动的建模和模拟。 为了支持拟议软件的开发和采用,该项目还将使用该软件来 为三名中风后行走功能受损、不对称的患者设计个性化干预措施。 研究小组将举办为期三年的“中风大挑战赛”,每年在 同样的专业会议,让研究界参与基于模型的个性化治疗 设计将从每个受试者收集大量的人体运动数据集,用于构建 一个虚拟的模型相互竞争的研究团队将使用该软件和主题的虚拟模型 来设计个性化的治疗方法来改善受试者行走的对称性。此外,研究团队 将使用新软件为相同的受试者开发自己的个性化干预设计。任何 由竞赛参与者或研究团队确定的有临床前景的干预措施将被 在后续项目中对相同的受试者实施,以评估其疗效。

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 }}

BENJAMIN J FREGLY其他文献

BENJAMIN J FREGLY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('BENJAMIN J FREGLY', 18)}}的其他基金

OpenSim Enhancements to Enable Computational Design of Personalized Treatments for Movement Impairments
OpenSim 增强功能可实现针对运动障碍的个性化治疗的计算设计
  • 批准号:
    10482399
  • 财政年份:
    2021
  • 资助金额:
    $ 62.51万
  • 项目类别:
OpenSim Enhancements to Enable Computational Design of Personalized Treatments for Movement Impairments
OpenSim 增强功能可实现针对运动障碍的个性化治疗的计算设计
  • 批准号:
    10680443
  • 财政年份:
    2021
  • 资助金额:
    $ 62.51万
  • 项目类别:
Real-Time Model-Based Gait Retraining for Knee Osteoarthritis Rehabilitation
基于实时模型的膝骨关节炎康复步态再训练
  • 批准号:
    7305926
  • 财政年份:
    2007
  • 资助金额:
    $ 62.51万
  • 项目类别:
Real-Time Model-Based Gait Retraining for Knee Osteoarthritis Rehabilitation
基于实时模型的膝骨关节炎康复步态再训练
  • 批准号:
    7495645
  • 财政年份:
    2007
  • 资助金额:
    $ 62.51万
  • 项目类别:
COMPUTATIONAL FRAMEWORK FOR SIMULATING JOINT MECHANICS
模拟关节力学的计算框架
  • 批准号:
    6465453
  • 财政年份:
    2002
  • 资助金额:
    $ 62.51万
  • 项目类别:
COMPUTATIONAL FRAMEWORK FOR SIMULATING JOINT MECHANICS
模拟关节力学的计算框架
  • 批准号:
    6732078
  • 财政年份:
    2002
  • 资助金额:
    $ 62.51万
  • 项目类别:
COMPUTATIONAL FRAMEWORK FOR SIMULATING JOINT MECHANICS
模拟关节力学的计算框架
  • 批准号:
    6603899
  • 财政年份:
    2002
  • 资助金额:
    $ 62.51万
  • 项目类别:

相似海外基金

WELL-CALF: optimising accuracy for commercial adoption
WELL-CALF:优化商业采用的准确性
  • 批准号:
    10093543
  • 财政年份:
    2024
  • 资助金额:
    $ 62.51万
  • 项目类别:
    Collaborative R&D
Investigating the Adoption, Actual Usage, and Outcomes of Enterprise Collaboration Systems in Remote Work Settings.
调查远程工作环境中企业协作系统的采用、实际使用和结果。
  • 批准号:
    24K16436
  • 财政年份:
    2024
  • 资助金额:
    $ 62.51万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Unraveling the Dynamics of International Accounting: Exploring the Impact of IFRS Adoption on Firms' Financial Reporting and Business Strategies
揭示国际会计的动态:探索采用 IFRS 对公司财务报告和业务战略的影响
  • 批准号:
    24K16488
  • 财政年份:
    2024
  • 资助金额:
    $ 62.51万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10107647
  • 财政年份:
    2024
  • 资助金额:
    $ 62.51万
  • 项目类别:
    EU-Funded
Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework
评估电动汽车采用对城市能源转型的协调:地理空间机器学习框架
  • 批准号:
    24K20973
  • 财政年份:
    2024
  • 资助金额:
    $ 62.51万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10106221
  • 财政年份:
    2024
  • 资助金额:
    $ 62.51万
  • 项目类别:
    EU-Funded
Our focus for this project is accelerating the development and adoption of resource efficient solutions like fashion rental through technological advancement, addressing longer in use and reuse
我们该项目的重点是通过技术进步加快时装租赁等资源高效解决方案的开发和采用,解决更长的使用和重复使用问题
  • 批准号:
    10075502
  • 财政年份:
    2023
  • 资助金额:
    $ 62.51万
  • 项目类别:
    Grant for R&D
Engage2innovate – Enhancing security solution design, adoption and impact through effective engagement and social innovation (E2i)
Engage2innovate — 通过有效参与和社会创新增强安全解决方案的设计、采用和影响 (E2i)
  • 批准号:
    10089082
  • 财政年份:
    2023
  • 资助金额:
    $ 62.51万
  • 项目类别:
    EU-Funded
De-Adoption Beta-Blockers in patients with stable ischemic heart disease without REduced LV ejection fraction, ongoing Ischemia, or Arrhythmias: a randomized Trial with blinded Endpoints (ABbreviate)
在没有左心室射血分数降低、持续性缺血或心律失常的稳定型缺血性心脏病患者中停用β受体阻滞剂:一项盲法终点随机试验(ABbreviate)
  • 批准号:
    481560
  • 财政年份:
    2023
  • 资助金额:
    $ 62.51万
  • 项目类别:
    Operating Grants
Collaborative Research: SCIPE: CyberInfrastructure Professionals InnoVating and brOadening the adoption of advanced Technologies (CI PIVOT)
合作研究:SCIPE:网络基础设施专业人员创新和扩大先进技术的采用 (CI PIVOT)
  • 批准号:
    2321091
  • 财政年份:
    2023
  • 资助金额:
    $ 62.51万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了