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多关节手臂运动中手部平衡轨迹的控制

The control of hand equilibrium trajectories in multi-joint arm movements.

作者信息

Flash T

机构信息

Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139.

出版信息

Biol Cybern. 1987;57(4-5):257-74. doi: 10.1007/BF00338819.

DOI:10.1007/BF00338819
PMID:3689835
Abstract

According to the equilibrium trajectory hypothesis, multi-joint arm movements are achieved by gradually shifting the hand equilibrium positions defined by the neuromuscular activity. The magnitude of the force exerted on the arm, at any time, depends on the difference between the actual and equilibrium hand positions and the stiffness and viscosity about the equilibrium position. The purpose of this paper is to test the validity and implications of this hypothesis in the context of reaching movements. A mathematical description of the behavior of an arm tracking the equilibrium trajectory was developed and implemented in computer simulations. The joint stiffness parameters used in these simulations were derived from experimentally measured static stiffness values. The kinematic features of hand equilibrium trajectories which were derived from measured planar horizontal movements gave rise to the suggestion that the generation of reaching movements involves explicit planning of spatially and temporally invariant hand equilibrium trajectories. This hypothesis was tested by simulating actual arm movements based on hypothetical equilibrium trajectories. The success of the predicted behavior in capturing both the qualitative features and the quantitative kinematic details of the measured movements supports the equilibrium trajectory hypothesis. The control strategy suggested here may allow the motor system to avoid some of the complicated computational problems associated with multi-joint arm movements.

摘要

根据平衡轨迹假说,多关节手臂运动是通过逐渐改变由神经肌肉活动所定义的手部平衡位置来实现的。在任何时刻,施加在手臂上的力的大小取决于实际手部位置与平衡位置之间的差异以及围绕平衡位置的刚度和粘性。本文的目的是在伸手够物动作的背景下检验这一假说的有效性及其影响。开发了一个描述手臂跟踪平衡轨迹行为的数学模型,并在计算机模拟中予以实现。这些模拟中使用的关节刚度参数源自实验测量的静态刚度值。从测量的平面水平运动中得出的手部平衡轨迹的运动学特征表明,伸手够物动作的产生涉及对手部平衡轨迹在空间和时间上的不变性进行明确规划。通过基于假设的平衡轨迹模拟实际手臂运动来检验这一假说。预测行为在捕捉测量运动的定性特征和定量运动学细节方面的成功支持了平衡轨迹假说。这里提出的控制策略可能使运动系统避免一些与多关节手臂运动相关的复杂计算问题。

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本文引用的文献

1
Exploring a vibratory systems analysis of human movement production.探索人类运动产生的振动系统分析。
J Neurophysiol. 1980 May;43(5):1183-96. doi: 10.1152/jn.1980.43.5.1183.
2
Superposition of motor programs--I. Rhythmic forearm movements in man.运动程序叠加——I. 人类前臂的节律性运动
Neuroscience. 1980;5(1):81-90. doi: 10.1016/0306-4522(80)90073-1.
3
Spatial control of arm movements.手臂运动的空间控制。
重力对功能性运动过程中手部时空运动学特征的影响。
PLoS One. 2024 Dec 31;19(12):e0310192. doi: 10.1371/journal.pone.0310192. eCollection 2024.
4
Force drifts and matching errors in the lower extremities: implications for the control and perception of foot force.下肢的力漂移和匹配误差:对足部力量控制和感知的影响。
Exp Brain Res. 2024 Dec 31;243(1):37. doi: 10.1007/s00221-024-06990-w.
5
Dynamic primitives in constrained action: systematic changes in the zero-force trajectory.约束动作中的动态基元:零力轨迹的系统变化。
J Neurophysiol. 2024 Jan 1;131(1):1-15. doi: 10.1152/jn.00082.2023. Epub 2023 Oct 11.
6
Learning to manipulate a whip with simple primitive actions - A simulation study.通过简单原始动作学习操控鞭子——一项模拟研究。
iScience. 2023 Jul 14;26(8):107395. doi: 10.1016/j.isci.2023.107395. eCollection 2023 Aug 18.
7
Assisting Forearm Function in Children With Movement Disorders A Soft Wearable Robot With Equilibrium-Point Control.协助运动障碍儿童的前臂功能:一款具有平衡点控制的柔软可穿戴机器人。
Front Robot AI. 2022 Jun 15;9:877041. doi: 10.3389/frobt.2022.877041. eCollection 2022.
8
Human Control Model Estimation in Physical Human-Machine Interaction: A Survey.物理人机交互中的人体控制模型估计:综述。
Sensors (Basel). 2022 Feb 23;22(5):1732. doi: 10.3390/s22051732.
9
Sensorimotor strategy selection under time constraints in the presence of two motor targets with different values.在存在两个具有不同价值的运动目标的情况下,在时间限制下选择运动感觉策略。
Sci Rep. 2021 Nov 15;11(1):22207. doi: 10.1038/s41598-021-01584-w.
10
The computational neurology of movement under active inference.主动推理下运动的计算神经科学。
Brain. 2021 Jul 28;144(6):1799-1818. doi: 10.1093/brain/awab085.
Exp Brain Res. 1981;42(2):223-7. doi: 10.1007/BF00236911.
4
Dynamic interactions between limb segments during planar arm movement.平面手臂运动过程中肢体节段之间的动态相互作用。
Biol Cybern. 1982;44(1):67-77. doi: 10.1007/BF00353957.
5
The mechanical behavior of the human forearm in response to transient perturbations.人类前臂对瞬态扰动的力学行为。
Biol Cybern. 1982;44(1):35-46. doi: 10.1007/BF00353954.
6
Human arm trajectory formation.人类手臂轨迹形成。
Brain. 1982 Jun;105(Pt 2):331-48. doi: 10.1093/brain/105.2.331.
7
The mechanical behavior of active human skeletal muscle in small oscillations.活跃人体骨骼肌在小振幅振荡中的力学行为。
J Biomech. 1982;15(2):111-21. doi: 10.1016/0021-9290(82)90043-4.
8
The control of rapid limb movement in the cat. III. Agonist - antagonist coupling.猫快速肢体运动的控制。III. 主动肌 - 拮抗肌耦合。
Exp Brain Res. 1982;45(1-2):115-25. doi: 10.1007/BF00235770.
9
Arm trajectory formation in monkeys.猴子的手臂轨迹形成
Exp Brain Res. 1982;46(1):139-43. doi: 10.1007/BF00238107.
10
Regulation of soleus muscle stiffness in premammillary cats: intrinsic and reflex components.乳头前猫比目鱼肌僵硬度的调节:内在和反射成分
J Neurophysiol. 1981 Feb;45(2):267-85. doi: 10.1152/jn.1981.45.2.267.