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临床试验/NCT03065153
NCT03065153已完成不适用

Interaction Between Trunk and Gait Performance in Both Healthy Adults and Stroke Patients

Universiteit Antwerpen1 个研究点 分布在 1 个国家目标入组 114 人开始时间: 2015年4月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
114
试验地点
1
主要终点
Continous relative phase (of the trunk) by means of 3D full body gait analysis

研究概览

简要总结

The aim is to investigate the biomechanical interaction between trunk and gait performance in both healthy and stroke subjects. People after stroke often have an impaired trunk function, resulting in balance and gait disorders. Pathological movement patterns after stroke can be compared with normative data as motion capture systems provide more sensitive data to explore the interaction between trunk performance and gait in contrast to the clinical measures used in literature.

详细描述

Evidence has shown that trunk performance is related to measures of balance, gait and functional ability. Yet, several aspects of trunk performance such as sitting balance, trunk muscle strength, selective trunk movements and trunk position sense are impaired after stroke. This implies that impaired trunk performance will inevitably lead to impaired postural control during activities performed while standing and walking. Nonetheless, the interaction between increased trunk performance and improvements in activities performed while standing and walking is not evident. It has previously been stated that therapy primarily induces treatment effects on the abilities at which training is specifically aimed. However, previous research has shown that additional trunk exercises improve not only trunk performance but also standing balance and mobility. Yet, the clinical outcome measures used in previous studies are not suitable to explore the relationship between trunk and gait performance and cannot explain the underlying mechanisms of the therapeutic effects. Since studies using sensitive motion analyses to investigate trunk biomechanics during gait are sparse in both healthy subjects and subjects with stroke. Data will be gathered by a Vicon analysis system (©Vicon Motion Systems Ltd., London, UK) with a measuring frequency of 100 Hz and eight infrared automated cameras (Vicon T10 cameras, 100 fps, 1 Megapixel) measured the 3D coordinates of the reflective markers. In addition, initial contact and toe off were defined based on the ankle trajectories of the reflective markers together with 3 AMTI type OR 6-7 force plates (1000 fps, 46x50x8 cm) and 1 AccuGait® (1000 fps) force plate recordings. Reflective motion trackers were attached to anatomical landmarks on the participant's body according to the standard Plug-In-Gait model. Furthermore, a 16 channel telemetric wireless EMG system (Arion Zerowire) will measure muscle activity.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Cross Sectional

入排标准

年龄范围
19 Years 至 85 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Continous relative phase (of the trunk) by means of 3D full body gait analysis

时间窗: Once, in the week of inclusion

Phase difference of the upper and lower trunk in the transverse plane which assesses trunk coordination

次要结局

  • Anteroposterior trunk displacements by means of 3D full body gait analysis (mm)(Once, in the week of inclusion)
  • Lateral trunk displacements by means of 3D full body gait analysis (mm)(Once, in the week of inclusion)
  • Vertical trunk displacements by means of 3D full body gait analysis (mm)(Once, in the week of inclusion)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Tamaya Van Criekinge

Principal Investigator

Universiteit Antwerpen

研究点 (1)

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