Suppr超能文献

运动想象对复杂外部动力学条件下学习的影响。

Influence of motor imagery on learning under complex external dynamics.

作者信息

Anwar Muhammad Nabeel, Tomi Naoki, Ito Koji

机构信息

Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta, Midoriku, Yokohama-shi, Kanagawa, Japan.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5926-9. doi: 10.1109/IEMBS.2009.5334859.

Abstract

Humans are remarkable in their ability to adapt to changes in the dynamics of a movement. The mechanisms by which the brain controls body movements are important in the fields of robotics and neurosciences. Robots are largely used to study the adaptive properties of human motor system. If rehabilitation robots are used in conjunction with techniques for functional brain imaging, in principle the motor learning can be facilitated for rehabilitation purposes. In this study, we use motor imagery technique to improve the learning rate in a robot-based adaptation task. We tried to determine whether humans can learn an internal model of a complex mixed force field (V+P) that was the sum of a velocity-dependent force field (V) and a position-dependent force field (P). The results suggest that the motor learning can be influenced by mental practice and could be used to increase the rate of adaptation.

摘要

人类适应运动动力学变化的能力十分卓越。大脑控制身体运动的机制在机器人技术和神经科学领域至关重要。机器人在很大程度上被用于研究人类运动系统的适应性特性。如果将康复机器人与功能性脑成像技术结合使用,原则上可以促进运动学习以用于康复目的。在本研究中,我们使用运动想象技术来提高基于机器人的适应任务中的学习速率。我们试图确定人类是否能够学习一种复杂混合力场(V + P)的内部模型,该力场是速度依赖力场(V)和位置依赖力场(P)的总和。结果表明,运动学习会受到心理练习的影响,并且可用于提高适应速率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验