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基于表面标记测量确定屈伸过程中手指节段的旋转中心

Determining finger segmental centers of rotation in flexion-extension based on surface marker measurement.

作者信息

Zhang Xudong, Lee Sang-Wook, Braido Peter

机构信息

Biomechanics and Ergonomics Laboratory, Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, 1206 West Green Street, Urbana, IL 61801, USA.

出版信息

J Biomech. 2003 Aug;36(8):1097-102. doi: 10.1016/s0021-9290(03)00112-x.

Abstract

This paper describes the development of a novel algorithm for deriving finger segmental center of rotation (COR) locations during flexion-extension from measured surface marker motions in vivo. The algorithm employs an optimization routine minimizing the time-variance of the internal link lengths, and incorporates an empirically quantifiable relationship between the local movement of a surface marker around a joint (termed "surface marker excursion") and the joint flexion-extension. The latter relationship constrains and simplifies the optimization routine to make it computationally tractable. To empirically investigate this relationship and test the proposed algorithm, an experiment was conducted, in which hand cylinder-grasping movements were performed by 24 subjects (12 males and 12 females). Spherical retro-reflective markers were placed at various surface landmarks on the dorsal aspect of each subject's right (grasping) hand, and were measured during the movements by an opto-electronic system. Analysis of experimental data revealed a highly linear relationship between the "surface marker excursion" and the marker-defined flexion-extension angle: the average R(2) in linear regression ranged from 0.89 to 0.97. The algorithm successfully determined the CORs of the distal interphalangeal, proximal interphalangeal, and metacarpophalangeal joints of digits 2-5 during measured motions. The derived CORs appeared plausible as examined in terms of the physical locations relative to surface marker trajectories and the congruency across different joints and individuals.

摘要

本文描述了一种新颖算法的开发,该算法可根据体内测量的表面标记运动来推导屈伸过程中手指节段旋转中心(COR)的位置。该算法采用一种优化程序,使内部连杆长度的时间变化最小化,并纳入了表面标记围绕关节的局部运动(称为“表面标记偏移”)与关节屈伸之间的经验可量化关系。后一种关系约束并简化了优化程序,使其在计算上易于处理。为了通过实验研究这种关系并测试所提出的算法,进行了一项实验,其中24名受试者(12名男性和12名女性)进行了手握圆柱体的运动。在每个受试者右手(握持手)背侧的各个表面标志处放置了球形反光标记,并在运动过程中通过光电系统进行测量。对实验数据的分析揭示了“表面标记偏移”与标记定义的屈伸角度之间高度线性的关系:线性回归中的平均R²范围为0.89至0.97。该算法在测量运动过程中成功确定了第2至5指的远侧指间关节、近侧指间关节和掌指关节的COR。从相对于表面标记轨迹的物理位置以及不同关节和个体之间的一致性来看,所推导的COR似乎是合理的。

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