Matsuoka Y, Brewer B R, Klatzky R L
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Conf Proc IEEE Eng Med Biol Soc. 2004;2004:4866-9. doi: 10.1109/IEMBS.2004.1404346.
Individuals with chronic disabilities often use compensatory coordination patterns learned during the recovery phase, even after their individual muscular control returns. Although these compensatory movements limit their ability to complete tasks, these individuals are not able to relearn the correct synergistic coordination patterns because doing so would temporarily compromise task performance. Following our previous work using feedback distortion in a virtual rehabilitation environment to increase the strength and range of motion of disabled individuals, we address the use of this same feedback distortion environment to alter movement coordination patterns. In this paper, we present the methodology and preliminary results showing that (1) able-bodied individuals could be trained to use a different coordination pattern to produce pinching movements, and (2) feedback distortion can alter movements for individual fingers separately during a coordinated movement. These results indicate that our distorted virtual environment may be a powerful rehabilitation tool to convert compensatory movements into movements that utilize all muscles in the normal synergistic patterns.
患有慢性残疾的个体即使在其个体肌肉控制恢复后,也常常会使用在恢复阶段学到的代偿性协调模式。尽管这些代偿性动作限制了他们完成任务的能力,但这些个体无法重新学习正确的协同协调模式,因为这样做会暂时影响任务表现。继我们之前在虚拟康复环境中使用反馈失真来增强残疾个体的力量和运动范围的工作之后,我们探讨了使用相同的反馈失真环境来改变运动协调模式。在本文中,我们展示了方法和初步结果,表明:(1)健全个体可以通过训练使用不同的协调模式来进行捏取动作;(2)在协调运动过程中,反馈失真可以分别改变单个手指的动作。这些结果表明,我们的失真虚拟环境可能是一种强大的康复工具,能够将代偿性动作转化为以正常协同模式利用所有肌肉的动作。