A Lower Extremity Neuromusculoskeletal Human Simulator: Addressing Multiscale Challenges

下肢神经肌肉骨骼人体模拟器:应对多尺度挑战

基本信息

项目摘要

PROJECT SUMMARY / ABSTRACT Our vision is to represent the human musculoskeletal system, through the creation of data and models, with the realism needed to understand pathology and improve treatment. The human body is inherently multiscale. Diseases and injuries often affect tissues at the microstructural scale; small-scale pathology impacts biomechanics at larger scales, leading to whole-body movement compensations that oftentimes promote further injury or accelerate degeneration. Ultimately, a multiscale approach, describing the behavior of individual tissues, and the biomechanics of the whole body, is needed to elucidate the etiology of diseases, mechanisms of adaptation and best treatments. The overall goal of this proposal is to create a comprehensive multiscale neuromusculoskeletal model of the human lower extremity, which includes seamless connection between tissue and whole-body function during dynamic human activities and enables realistic investigations of musculoskeletal disease and treatment. While we will create and share models with broad applicability in biomechanics, our target is understanding the effects of knee osteoarthritis (OA) on patient function and optimizing treatment through total knee arthroplasty (TKA). OA is a serious degenerative joint disease and the leading cause of disability in the elderly. Moreover, OA is interrelated with many pressing health concerns, including obesity, cardiovascular disease (CVD), Alzheimer’s disease, dementia, and depression. Joint replacement remains the only effective treatment for advanced OA. Unfortunately, as many as 20-30% of total joint replacement patients report pain, require additional surgeries, and endure a poor movement-related quality of life. A tenet of our research is the use of human modeling and simulation to investigate the multiscale effects of OA on patients, and to improve the design and practice of joint replacement surgery.
项目总结/摘要 我们的愿景是通过创建数据和模型, 了解病理学和改善治疗所需的现实主义。人体本质上是多尺度的。 疾病和损伤通常影响组织的微观结构;小规模的病理影响 生物力学在更大的规模,导致全身运动补偿,往往促进 进一步损伤或加速退化。最终,一个多尺度的方法,描述的行为, 需要个体组织和整个身体的生物力学来阐明疾病的病因, 适应机制和最佳治疗方法。该提案的总体目标是建立一个全面的 人体下肢的多尺度神经肌肉骨骼模型,包括无缝连接 在动态人类活动期间组织和全身功能之间的关系,并使现实的调查成为可能 肌肉骨骼疾病和治疗。虽然我们将创建和共享具有广泛适用性的模型, 生物力学,我们的目标是了解膝关节骨关节炎(OA)对患者功能的影响, 通过全膝关节置换术(TKA)优化治疗。OA是一种严重的退行性关节疾病, 老年人残疾的主要原因。此外,OA与许多紧迫的健康问题相互关联, 包括肥胖、心血管疾病(CVD)、阿尔茨海默病、痴呆和抑郁症。联合 置换仍然是晚期OA的唯一有效治疗方法。不幸的是,多达20-30%的总数 关节置换患者报告疼痛,需要额外的手术,并忍受与运动相关的不良反应, 生活质量我们的研究宗旨是使用人体建模和仿真来研究多尺度 OA对患者的影响,并改善关节置换手术的设计和实践。

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)
Automated 2D and 3D finite element overclosure adjustment and mesh morphing using generalized regression neural networks.
使用广义回归神经网络自动进行 2D 和 3D 有限元包覆调整和网格变形。
  • DOI:
    10.1016/j.medengphy.2024.104136
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Andreassen,ThorE;Hume,DonaldR;Hamilton,LandonD;Higinbotham,SeanE;Shelburne,KevinB
  • 通讯作者:
    Shelburne,KevinB
Integration of neural architecture within a finite element framework for improved neuromusculoskeletal modeling.
  • DOI:
    10.1038/s41598-021-02298-9
  • 发表时间:
    2021-11-26
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Volk VL;Hamilton LD;Hume DR;Shelburne KB;Fitzpatrick CK
  • 通讯作者:
    Fitzpatrick CK
Three Dimensional Lower Extremity Musculoskeletal Geometry of the Visible Human Female and Male.
  • DOI:
    10.1038/s41597-022-01905-2
  • 发表时间:
    2023-01-18
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Andreassen, Thor E.;Hume, Donald R.;Hamilton, Landon D.;Walker, Karen E.;Higinbotham, Sean E.;Shelburne, Kevin B.
  • 通讯作者:
    Shelburne, Kevin B.
Supine leg press as an alternative to standing lunge in high-speed stereo radiography.
在高速立体放射成像中,仰卧腿举可以替代站立弓步。
  • DOI:
    10.1016/j.jbiomech.2022.111118
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Hamilton,LandonD;Andreassen,ThorE;Myers,Casey;Shelburne,KevinB;Clary,Chadd;Rullkoetter,PaulJ
  • 通讯作者:
    Rullkoetter,PaulJ
Knee pivot location in asymptomatic older adults.
无症状老年人的膝关节枢轴位置。
  • DOI:
    10.1016/j.jbiomech.2023.111487
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Hamilton,LandonD;Andreassen,ThorE;Myers,CaseyA;Shelburne,KevinB;Clary,ChaddW;Rullkoetter,PaulJ
  • 通讯作者:
    Rullkoetter,PaulJ
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KEVIN B SHELBURNE其他文献

KEVIN B SHELBURNE的其他文献

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{{ truncateString('KEVIN B SHELBURNE', 18)}}的其他基金

A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
  • 批准号:
    8902141
  • 财政年份:
    2012
  • 资助金额:
    $ 43.65万
  • 项目类别:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
  • 批准号:
    8517719
  • 财政年份:
    2012
  • 资助金额:
    $ 43.65万
  • 项目类别:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
  • 批准号:
    8350729
  • 财政年份:
    2012
  • 资助金额:
    $ 43.65万
  • 项目类别:
A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to Curren
应用于当前的多尺度有限元肌肉骨骼建模框架
  • 批准号:
    8705909
  • 财政年份:
    2012
  • 资助金额:
    $ 43.65万
  • 项目类别:

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