IEEE Trans Biomed Eng. 2018 Oct;65(10):2162-2167. doi: 10.1109/TBME.2017.2786142. Epub 2017 Dec 21.
In both movement training and neurorehabilitation, there have been numerous examples of how average performance can be manipulated through practice using enhanced visual feedback.
Rather than just influencing the mean, our objective was to use a novel feedback technique called limit-push to influence the trial-to-trial variability of motion by distorting vision.
Limit-push was previously done using robotic forces; the present study employed only visual distortions that imitated the limit-push approach.
Like the robotic force treatment, our results showed how subjects significantly shifted the distributions of their motions. This effect was even greater than that of the original limit-push experiment that used robotic forces.
Such visual distortion interventions do not require a robot for enhanced training.
The visual limit-push technique appears to be able to selectively alter both the central tendency and variability in performance training applications.
未加标签:在运动训练和神经康复中,有许多例子表明,通过使用增强的视觉反馈进行练习,可以操纵平均表现。
目的:我们的目的不是仅仅影响平均值,而是使用一种称为限推的新反馈技术,通过视觉扭曲来影响运动的逐次变化的可变性。
方法:限推以前是使用机器人力来实现的;本研究仅使用了模仿限推方法的视觉扭曲。
结果:与机器人力处理一样,我们的结果表明,受试者的运动分布明显发生了变化。这种效果甚至比使用机器人力的原始限推实验更大。
意义:这种视觉失真干预不需要机器人来增强训练。
结论:视觉限推技术似乎能够有选择地改变性能训练应用中的中心趋势和可变性。