Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
复制标题
DOI：
10.1073/pnas.0403504101
复制
发表时间：
2004-12-21
影响因子：
11.1
通讯作者：
McFarland, DJ
中科院分区：
文献类型：
--
作者：
Wolpaw, JR;McFarland, DJ
脑机接口（BCI）可以为完全瘫痪的人提供通信和控制。脑机接口可以使用非侵入性或侵入性的方法来记录传达用户命令的大脑信号。尽管非侵入性脑机接口已经用于简单的应用，但人们普遍认为，只有使用植入大脑中的电极的侵入性脑机接口才能提供机器人手臂或神经假体的多维运动控制。我们现在表明，使用头皮记录的脑电图活动和自适应算法的非侵入性BCI可以为人类（包括脊髓损伤的人）提供多维点对点运动控制，该控制福尔斯在猴子中报告的侵入性方法的范围内。在运动时间、精确度和准确度方面，结果与侵入性脑机接口相当。在这种非侵入性脑机接口中使用的自适应算法识别并关注人最能够控制的脑电图特征，并鼓励进一步改进该控制。结果表明，患有严重运动障碍的人可以使用大脑信号来操作机器人手臂或神经假体，而无需在大脑中植入电极。
Brain-computer interfaces (BCIs) can provide communication and control to people who are totally paralyzed. BCIs can use noninvasive or invasive methods for recording the brain signals that convey the user's commands. Whereas noninvasive BCIs are already in use for simple applications, it has been widely assumed that only invasive BCIs, which use electrodes implanted in the brain, can provide multidimensional movement control of a robotic arm or a neuroprosthesis. We now show that a noninvasive BCI that uses scalp-recorded electroencephalographic activity and an adaptive algorithm can provide humans, including people with spinal cord injuries, with multidimensional point-to-point movement control that falls within the range of that reported with invasive methods in monkeys. In movement time, precision, and accuracy, the results are comparable to those with invasive BCIs. The adaptive algorithm used in this noninvasive BCI identifies and focuses on the electroencephalographic features that the person is best able to control and encourages further improvement in that control. The results suggest that people with severe motor disabilities could use brain signals to operate a robotic arm or a neuroprosthesis without needing to have electrodes implanted in their brains.