COMPUTER-WORKSTATION/NETWORK-SERVER TO LINK NIH INVESTIG

感觉运动表现计划专门研究人类 正常和受损受试者的运动控制。 目前的项目审查 上肢、下肢、颈部和眼部运动， 实验和计算机分析。 该提案要求 图形超级计算机来增强我们的实验和计算能力 研究，并通过高速计算机连接我们的调查团队 网络 这项先进的技术将使发展 肌肉骨骼的三维（3D）计算机图形模型 系统，这将大大提高我们的运动控制的研究。 具体来说，彼得森博士和卡什纳博士将使用计算机开发 头部和颈部肌肉组织的详细计算机图形模型， 这是他们对人类颈部运动研究的延伸。 本项目谋求 检查颈部肌肉的阵列是如何被激活的，以便更好地 理解。神经控制系统在正常人以及那些 做过乳腺切除术的人 开发计算机模型将 补充他们的实验工作，量化扭矩产生 负责稳定头部的肌肉的特性。 博士布坎南对静态手臂姿势的研究也将极大地 通过开发人类上肢的3D图形模型来增强。 这 模型将被用作一组实验和理论的基础 研究神经生理学的基础， 稳定的姿势 德尔普博士将研究 对病人进行的几次肌肉骨骼重建 患有神经系统损伤，如中风和脑瘫。 的 图形超级计算机将使Delp博士能够创建模型 基于来自医学成像设备的数据对个体患者进行评估。 这些 模型将在计算机显示器上进行操作，以探索如何 影响肌肉的肌肉骨骼系统的外科改变 实力 博士Keshner在她的姿势控制研究中， 动画三维运动数据，并克服她的主要限制， 目前的实验成果-收集和收集之间的延迟时间 数据分析。 这将允许她选择姿势扰动 与受试者的瞬时肌肉骨骼排列最相关。 有了这种新的能力，她将调查的假设， 质量中心相对于支撑底座的位置是 控制参数，所有体段都自动 在适当的感觉和运动指令下组织起来。 博士赖默对痉挛状态和神经肌肉疲劳的研究旨在 量化肌肉的机械特性是如何被改变的 神经系统疾病和疲劳。 这些研究依赖于准确的 肢体肌肉结构、肢体运动的建模与仿真 轨迹，肢体阻抗和控制策略，并将大大 通过所提出的计算机的先进计算能力来增强。

The Sensory Motor Performance Program specializes in the study of human motor control in normal and impaired subjects. Current projects examine upper limb, lower limb, neck, and eye movements using a combination of experimental and computer-based analysis. This proposal requests a graphics supercomputer to enhance our experimental and computational studies, and to link our investigative teams via a high speed computer network. This advanced technology will make possible the development of three-dimensional (3D) computer graphics models of the musculoskeletal system, which will significantly enhance our studies of movement control. Specifically, Drs. Peterson and Keshner will use the computer to develop detailed computer graphics models of the head and neck musculature as an extension of their study of human neck movement. This project seeks to examine how the array of neck muscles are activated in order to better understand the. neural control system in normal subjects as well as those that have undergone labyrinthectomies. Developing computer models will complement their experimental work by quantifying the torque-generating characteristics of the muscles responsible for stabilization of the head. Dr. Buchanan's investigation of static arm postures will also be greatly enhanced by developing a 3D graphics model of the human upper limb. This model will be used as the basis for a set of experimental and theoretical investigations of the neurophysiology underlying the maintenance of steady postures. Dr. Delp will study the biomechanical consequences of several musculoskeletal reconstructions that are performed on patients with neurological impairments, such as stroke and cerebral palsy. The graphics supercomputer will enable Dr. Delp to create models of individual patients based on data from medical imaging equipment. These models will be manipulated on the computer display to explore how surgical alterations of the musculoskeletal system affect muscle strength. Dr. Keshner, in her study of postural control, will use the workstation to animate 3D motion data and to overcome the major limitation of her current experimental arrangement-the delay time between collection and analysis of data. This will permit her to select postural perturbations most relevant to the subjects instantaneous musculoskeletal arrangement. With this new capacity, she will investigate the hypothesis that the position of the center of mass with respect to the base of support is the controlled parameter about which all body segments are automatically organized given the appropriate sensory and motor command. Dr. Rymer's studies of spasticity and neuromuscular fatigue aim to quantify how the mechanical properties of muscle are altered by neurological disease and fatigue. These studies rely on accurate modeling and simulation of limb muscle architecture, limb motion trajectories, limb impedance and control strategies, and would be greatly enhanced by the advanced computational capacity of the proposed computer.