COMPUTER-WORKSTATION/NETWORK-SERVER TO LINK NIH INVESTIG

感觉运动表现项目专门研究人类 正常和受损受试者的运动控制。 当前项目审查 上肢、下肢、颈部和眼球运动的组合 实验和基于计算机的分析。 该提案要求 图形超级计算机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。 这项先进技术将使开发 肌肉骨骼的三维 (3D) 计算机图形模型 系统，这将显着加强我们对运动控制的研究。 具体来说，博士。彼得森和凯什纳将使用计算机来开发 头部和颈部肌肉组织的详细计算机图形模型 他们对人类颈部运动研究的延伸。 该项目旨在 检查颈部肌肉阵列是如何被激活的，以便更好地 明白了。正常人和那些人的神经控制系统 接受过迷路切除术的人。 开发计算机模型将 通过量化扭矩产生来补充他们的实验工作 负责稳定头部的肌肉的特征。 布坎南博士对静态手臂姿势的研究也将极大 通过开发人类上肢的 3D 图形模型来增强。 这个 模型将用作一组实验和理论的基础 维持的神经生理学研究 稳定的姿势。 德尔普博士将研究生物力学后果 对患者进行的多次肌肉骨骼重建 患有神经系统损伤，例如中风和脑瘫。 的 图形超级计算机将使德尔普博士能够创建以下模型 基于医学成像设备数据的个体患者。 这些 模型将在计算机显示器上进行操作，以探索如何 肌肉骨骼系统的手术改变会影响肌肉 力量。 凯什纳博士在研究姿势控制时将使用该工作站 对 3D 运动数据进行动画处理并克服她的主要限制 目前的实验安排——收集和收集之间的延迟时间 数据分析。 这将使她能够选择姿势扰动 与受试者瞬时肌肉骨骼排列最相关。 凭借这一新能力，她将研究以下假设： 质心相对于支撑底座的位置是 所有身体部位都会自动调整的受控参数 给予适当的感觉和运动命令来组织。 莱默博士对痉挛和神经肌肉疲劳的研究旨在 量化肌肉的机械特性如何改变 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、肢体运动建模与仿真 轨迹、肢体阻抗和控制策略，并且将极大地 所提出的计算机的先进计算能力得到了增强。

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.