Holmes Charles Damian, Wronkiewicz Mark, Somers Thane, Liu Jenny, Russell Elizabeth, Kim DoHyun, Rhoades Colleen, Dunkley Jason, Bundy David, Galboa Elad, Leuthardt Eric
Electrical and Systems Engineering Department, Washington University in St. Louis, MO 63130, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1749-52. doi: 10.1109/EMBC.2012.6346287.
Stroke and other nervous system injuries can damage or destroy hand motor control and greatly upset daily activities. Brain computer interfaces (BCIs) represent an emerging technology that can bypass damaged nerves to restore basic motor function and provide more effective rehabilitation. A wireless BCI system was implemented to realize these goals using electroencephalographic brain signals, machine learning techniques, and a custom designed orthosis. The IpsiHand Bravo BCI system is designed to reach a large demographic by using non-traditional brain signals and improving on past BCI system pitfalls.
中风和其他神经系统损伤会损害或破坏手部运动控制，严重影响日常活动。脑机接口（BCI）是一种新兴技术，它可以绕过受损神经来恢复基本运动功能，并提供更有效的康复治疗。为实现这些目标，采用脑电图脑信号、机器学习技术和定制设计的矫形器，实施了一种无线BCI系统。IpsiHand Bravo BCI系统旨在通过使用非传统脑信号并改进以往BCI系统的缺陷，以惠及更多人群。
