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腿部运动的相平面建模

Phase plane modeling of leg motion.

作者信息

Beuter A, Flashner H, Arabyan A

出版信息

Biol Cybern. 1986;53(5):273-84. doi: 10.1007/BF00336561.

Abstract

Phase plane analysis of dynamical systems, in which variables are plotted against their time derivatives, has been recently emphasized as a general method for reconstructing system dynamics from data. The purpose of this experiment was to develop a model of leg movement in a stepping task using the phase plane approach. In this model, the leg is represented as a three-body linkage and the motion of the leg is assumed to be planar with four degrees of freedom. Experimental data was collected on one subject stepping six times, using a two dimensional videomotion analysis system with reflective markers placed on the lower limb joints. A computer program able to solve the equations of motion and compute the state of the system for a given task was implemented. This computer program was written to generate the motion of the leg for a given task using inverse kinematics and a preplanned foot path. Foot trajectories with cycloidal, constant acceleration/deceleration and sinusoidal velocity profiles were studied. From the results, an attempt was made to identify the variables which are measured and to determine the motion characteristics during stepping. The preliminary results support the concept of a hierarchical control structure with open-loop control during normal operation. During routine activity there is no direct intervention of the Central Nervous System (CNS). The results support the existence of preprogramming and provide a starting point for the study of the development of control in multiarticulate movements.

摘要

动态系统的相平面分析,即将变量与其时间导数进行绘图,最近已被强调为一种从数据重建系统动力学的通用方法。本实验的目的是使用相平面方法建立一个在踏步任务中腿部运动的模型。在这个模型中,腿部被表示为一个三体连杆机构,并且假设腿部运动是具有四个自由度的平面运动。使用放置在下肢关节上的反光标记的二维视频运动分析系统,对一名受试者进行六次踏步收集实验数据。实现了一个能够求解运动方程并计算给定任务下系统状态的计算机程序。该计算机程序被编写用于使用逆运动学和预先规划的足部路径生成给定任务下腿部的运动。研究了具有摆线、恒定加速/减速和正弦速度曲线的足部轨迹。根据结果,试图识别所测量的变量并确定踏步过程中的运动特征。初步结果支持了正常操作期间具有开环控制的分层控制结构的概念。在日常活动中,中枢神经系统(CNS)没有直接干预。这些结果支持了预编程的存在,并为多关节运动控制发展的研究提供了一个起点。

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