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一种基于脑电图的脑机接口,用于利用同侧皮质生理学对中风后手控制能力进行康复和恢复。

An EEG-based brain computer interface for rehabilitation and restoration of hand control following stroke using ipsilateral cortical physiology.

作者信息

Fok Sam, Schwartz Raphael, Wronkiewicz Mark, Holmes Charles, Zhang Jessica, Somers Thane, Bundy David, Leuthardt Eric

机构信息

Biomedical Engineering and Electrical Engineering Department, Washington University in St Louis, MO 63130, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6277-80. doi: 10.1109/IEMBS.2011.6091549.

Abstract

The loss of motor control severely impedes activities of daily life. Brain computer interfaces (BCIs) offer new possibilities to treat nervous system injuries, but conventional BCIs use signals from primary motor cortex, the same sites most likely damaged in a stroke causing paralysis. Recent studies found distinct cortical physiology associated with contralesional limb movements in regions distinct from primary motor cortex. To capitalize on these findings, we designed and implemented a BCI that localizes and acquires these brain signals to drive a powered, hand orthotic which opens and closes a patient's hand.

摘要

运动控制能力的丧失严重妨碍日常生活活动。脑机接口(BCI)为治疗神经系统损伤提供了新的可能性,但传统的脑机接口使用的是来自初级运动皮层的信号,而在中风导致瘫痪的情况下,这些部位最有可能受损。最近的研究发现,在与初级运动皮层不同的区域,存在与对侧肢体运动相关的独特皮层生理学现象。为了利用这些发现,我们设计并实现了一种脑机接口,该接口能够定位并获取这些脑信号,以驱动一个动力手部矫形器,从而打开和闭合患者的手部。

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