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机器人辅助减重对地面行走中生物力学运动模式的急性影响。

Acute effects of robot-assisted body weight unloading on biomechanical movement patterns during overground walking.

机构信息

Orthopaedic Research Unit, Department of Clinical Research, SDU, Denmark.

Orthopaedic Research Unit, Department of Clinical Research, SDU, Denmark.

出版信息

J Biomech. 2024 Jan;162:111862. doi: 10.1016/j.jbiomech.2023.111862. Epub 2023 Nov 11.

DOI:10.1016/j.jbiomech.2023.111862
PMID:37976689
Abstract

Body weight unloading (BWU) is used in rehabilitation/training settings to reduce kinetic requirements, however different BWU methods may be unequally capable of preserving biomechanical movement patterns. Biomechanical analysis of both kinetic and kinematic movement trajectories rather than discrete variables has not previously been performed to describe the effect of BWU on gait patterns during horizontal walking. The aim of the present study was to investigate how robot-assisted BWU producing an dynamic unloading force on the body centre of mass, affects kinematic, kinetic, and spatiotemporal gait parameters in healthy young adults by use of time-continuous analysis. Twenty participants walked overground in a 3-D motion-capture lab at 0, 10, 20, 30, 40, and 50 % BWU at a self-selected speed. Vertical and anterior-posterior ground reaction forces (GRFs) and lower limb internal joint moments were obtained during the stance phase, while joint angles were obtained during entire strides. Time-continuous data were analysed using Statistical Parametric Mapping (SPM) and discrete data using conventional statistics to compare different BWU conditions by means of One-Way Repeated Measures Anova. With increasing BWU, corresponding reductions were observed for GRFs, internal joint moments, joint angles, walking speed, stride/step length and cadence. Observed effects were partially caused by decreased walking speed and increased BWU. While amplitude reductions were observed for kinetic and kinematic variables, trajectory shapes were largely preserved. In conclusion, dynamic robot-assisted BWU enables reduced kinetic requirements without distorting biomechanically normal gait patterns during overground walking in young healthy adults.

摘要

身体重量卸载(BWU)在康复/训练环境中用于降低动力学要求,但不同的 BWU 方法可能在保持生物力学运动模式方面能力不均等。以前没有使用生物力学分析动能和运动轨迹,而是离散变量,来描述 BWU 对水平行走时步态模式的影响。本研究的目的是通过连续时间分析,研究机器人辅助 BWU 对身体质心产生动态卸载力时,如何影响健康年轻成年人的运动学、动力学和时空步态参数。二十名参与者以自我选择的速度在 3-D 运动捕捉实验室中以 0、10、20、30、40 和 50% BWU 进行地面行走。在站立阶段获得垂直和前后地面反作用力(GRF)和下肢内部关节力矩,同时在整个步幅中获得关节角度。使用统计参数映射(SPM)对连续时间数据进行分析,使用传统统计学对离散数据进行分析,通过单向重复测量方差分析比较不同 BWU 条件。随着 BWU 的增加,GRF、内部关节力矩、关节角度、行走速度、步长/步幅和步频相应降低。观察到的效果部分是由于行走速度降低和 BWU 增加引起的。虽然动能和运动学变量的幅度减小,但轨迹形状基本保持不变。总之,动态机器人辅助 BWU 可以在年轻健康成年人的地面行走中降低动力学要求,而不会扭曲生物力学正常步态模式。

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