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:10680443
- 负责人:
- 金额:$ 60.41万
- 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
- 来源:
- 关键词:AccelerationAddressAdoptionAdultAffectAftercareAmericanAmputationAnatomyApplications GrantsAutomobilesBiomechanicsBiomedical EngineeringCalibrationCerebral PalsyClinicalCollaborationsCommunitiesComputer ModelsComputer SimulationComputer softwareComputersDataData SetDegenerative polyarthritisDevelopmentDevicesDiabetes MellitusDoctor of PhilosophyEngineeringEvaluationFundingGenerationsGoalsHealthHealthcareHeart DiseasesHumanImpairmentImplantIndividualInterventionJointsJudgmentLawsLearningMalignant NeoplasmsMetabolicMethodsModelingMovementMuscleMusculoskeletalOperative Surgical ProceduresOrthopedicsParkinson DiseaseParticipantPatientsPhysicsPhysiologyPopulationProcessProductivityQuality of lifeRecoveryRehabilitation therapyResearchResearch PersonnelResearch Project GrantsRiskScientistSeriesSocietiesSoftware ToolsSpeedSpinal cord injuryStrokeStructureStudy SubjectTechnologyTestingTraumatic Brain InjuryUnited States National Institutes of HealthWalkingclinical practicecommunity engaged researchcostdesigndisabilityevidence baseexoskeletonflexibilityfootfunctional outcomesgraphical user interfaceimprovedinnovationinterdisciplinary approachlimb amputationmodel developmentmodels and simulationmotor impairmentneuromusculoskeletalneuroregulationpersonalized interventionpersonalized medicinephysical therapistpost strokepreventprototypeskeletalsocietal costssoftware developmentsymposiumtherapy designtooltreadmill trainingtreatment optimizationvirtualvirtual modelvirtual patientvirtual therapy
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.
抽象的
大约 19% 的美国人患有骨关节炎、中风、脊髓损伤、脑外伤和截肢。
成年人口,骨关节炎和中风是成年人严重长期残疾的主要原因
与脑瘫、帕金森病和骨科癌症等其他疾病一样,
这些情况往往会严重影响人们的活动,造成巨大的社会成本,增加
其他严重的健康状况(例如心脏病和糖尿病)、独立性下降甚至丧失,
尽管这个问题很重要并且每个患者都有其独特性,
针对运动障碍的治疗设计尚未取得超出现成的实质性进展
根据主观临床判断选择的干预措施是否能最大程度地恢复受影响的个人。
功能可能实现,需要进行范式转变,转向使用客观设计的个性化干预措施
基于证据的方法。
该项目旨在开发创新的软件技术,使工程师能够在
与牧师合作,针对运动障碍设计有效的个性化干预措施,使用
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。
和模拟方法在过去 25 年彻底改变了飞机和汽车的设计
所提议的软件将创建患者的虚拟代表,然后应用虚拟。
对虚拟患者进行治疗,以确定最有可能最大限度地恢复损失的治疗设计
虚拟患者模型将遵循物理定律和生理学原理来反映患者的功能。
治疗前移动并预测治疗后患者将如何移动,从而实现快速、轻松。
构建患者模型和优化患者功能结果,软件技术将
纳入 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
为三名中风后步行功能受损、不对称的人设计个性化干预措施。
研究团队将组织为期三年的“中风大挑战赛”,每年在
同一个专业会议,让研究界参与基于模型的个性化治疗
将从每个受试者收集广泛的人体运动数据集用于构建。
课题的虚拟模型。竞争研究团队将使用该软件和课题的虚拟模型。
此外,研究团队还设计了改善受试者行走对称性的个性化治疗方法。
将使用新软件为相同受试者开发自己的个性化干预设计。
竞赛参与者或研究团队确定的临床上令人鼓舞的干预措施将是
在后续项目中对相同主题实施以评估其效果。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
EMG-Driven Musculoskeletal Model Calibration With Wrapping Surface Personalization.
- DOI:10.1109/tnsre.2023.3323516
- 发表时间:2023
- 期刊:
- 影响因子:4.9
- 作者:Ao, Di;Li, Geng;Shourijeh, Mohammad S.;Patten, Carolynn;Fregly, Benjamin J.
- 通讯作者:Fregly, Benjamin J.
Comparison of Synergy Extrapolation and Static Optimization for Estimating Multiple Unmeasured Muscle Activations during Walking.
用于估计步行期间多个未测量的肌肉激活的协同外推法和静态优化的比较。
- DOI:10.1101/2024.03.03.583228
- 发表时间:2024
- 期刊:
- 影响因子:0
- 作者:Di,Ao;Benjamin,JFregly
- 通讯作者:Benjamin,JFregly
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{{ 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:
10297893 - 财政年份:2021
- 资助金额:
$ 60.41万 - 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:
10482399 - 财政年份:2021
- 资助金额:
$ 60.41万 - 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:
$ 60.41万 - 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:
$ 60.41万 - 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
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$ 60.41万 - 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:
$ 60.41万 - 项目类别:
COMPUTATIONAL FRAMEWORK FOR SIMULATING JOINT MECHANICS
模拟关节力学的计算框架
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6603899 - 财政年份:2002
- 资助金额:
$ 60.41万 - 项目类别:
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