首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance
【2h】

Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance

机译:躯干摇摆平滑度视觉生物反馈对单足步态运动学习的影响

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The assessment of trunk sway smoothness using an accelerometer sensor embedded in a smartphone could be a biomarker for tracking motor learning. This study aimed to determine the reliability of trunk sway smoothness and the effect of visual biofeedback of sway smoothness on motor learning in healthy people during unipedal stance training using an iPhone 5 measurement system. In the first experiment, trunk sway smoothness in the reliability group ( = 11) was assessed on two days, separated by one week. In the second, the biofeedback group ( = 12) and no-biofeedback group ( = 12) were compared during 7 days of unipedal stance test training and one more day of retention (without biofeedback). The intraclass correlation coefficient score 0.98 (0.93–0.99) showed that this method has excellent test–retest reliability. Based on the power law of practice, the biofeedback group showed greater improvement during training days ( = 0.003). Two-way mixed analysis of variance indicates a significant difference between groups ( < 0.001) and between days ( < 0.001), as well as significant interaction ( < 0.001). Post hoc analysis shows better performance in the biofeedback group from training days 2 and 7, as well as on the retention day ( < 0.001). Motor learning objectification through visual biofeedback of trunk sway smoothness enhances postural control learning and is useful and reliable for assessing motor learning.
机译:使用嵌入在智能手机中的加速度传感器对躯干摇摆的平滑度进行评估可能是跟踪运动学习的生物标记。这项研究旨在确定在使用iPhone 5测量系统进行单步姿势训练期间,健康人的躯干摇摆平滑度的可靠性和视觉摇摆生物可视性反馈对健康人运动学习的影响。在第一个实验中,可靠性组(= 11)的躯干摇摆平滑度是在两天之内评估的,相隔一周。在第二个实验中,在单足姿势测试训练的7天和保留的另一天(无生物反馈)中比较了生物反馈组(= 12)和无生物反馈组(= 12)。组内相关系数得分为0.98(0.93-0.99),表明该方法具有很好的重测信度。根据实践的幂定律,生物反馈组在训练期间表现出更大的改善(= 0.003)。双向混合方差分析表明,组之间(<0.001)和天之间(<0.001)有显着差异,并且显着交互作用(<0.001)。事后分析显示,从训练的第2天和第7天起,以及在保留日(<0.001),生物反馈组的表现都更好。通过视觉对躯干摇摆的生物反馈进行运动学习的客观化可增强姿势控制学习,并且对于评估运动学习是有用且可靠的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号