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从步速预测峰值运动学和动力学参数。

Predicting peak kinematic and kinetic parameters from gait speed.

作者信息

Lelas Jennifer L, Merriman Gregory J, Riley Patrick O, Kerrigan D Casey

机构信息

Center of Rehabilitation Science, Spaulding Rehabilitation Hospital, 125 Nashua Street, Boston, MA 02114, USA.

出版信息

Gait Posture. 2003 Apr;17(2):106-12. doi: 10.1016/s0966-6362(02)00060-7.

Abstract

OBJECTIVE

The aim of this study is to assess the predictability of the relationships between gait speed and common peak sagittal plane parameters in order to provide a set of reference parameter values.

DESIGN

Lower extremity biomechanical data were collected in 64 healthy adults while walking barefoot at his/her comfortable walking speed, then at self-selected fast, slow and very slow speeds. Twenty seven peak joint parameter values were plotted and regressed as a function of gait speed.

DISCUSSION

While most parameters change with increasing gait speed, in general, the kinetic parameters had better predictability than the kinematic parameters. Most of the power parameters were found to have a quadratic relationship with gait speed. Of the moment parameters, four had a linear relationship with gait speed, while four had a quadratic one. These relationships shown in the tables and graphs here can be used as a reference for 'normal' gait parameter values.

摘要

目的

本研究旨在评估步速与矢状面常见峰值参数之间关系的可预测性,以便提供一组参考参数值。

设计

收集了64名健康成年人在赤足以舒适步速行走时,以及自选的快、慢和极慢步速行走时的下肢生物力学数据。绘制了27个峰值关节参数值,并将其作为步速的函数进行回归分析。

讨论

虽然大多数参数随步速增加而变化,但总体而言,动力学参数比运动学参数具有更好的可预测性。发现大多数功率参数与步速呈二次关系。在力矩参数中,四个与步速呈线性关系,四个呈二次关系。此处表格和图表中所示的这些关系可作为“正常”步态参数值的参考。

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