National Center for Adaptive Neurotechnologies, Albany, New York.
Muscle Nerve. 2020 Jun;61(6):702-707. doi: 10.1002/mus.26828.
A brain-computer interface (BCI) is a device that detects signals from the brain and transforms them into useful commands. Researchers have developed BCIs that utilize different kinds of brain signals. These different BCI systems have differing characteristics, such as the amount of training required and the degree to which they are or are not invasive. Much of the research on BCIs to date has involved healthy individuals and evaluation of classification algorithms. Some BCIs have been shown to have potential benefit for users with minimal muscular function as a result of amyotrophic lateral sclerosis. However, there are still several challenges that need to be successfully addressed before BCIs can be clinically useful.
脑机接口（BCI）是一种能够检测大脑信号并将其转化为有用指令的设备。研究人员已经开发出了利用不同类型大脑信号的 BCI。这些不同的 BCI 系统具有不同的特点，例如所需的训练量以及它们的侵入性程度。迄今为止，BCI 的大部分研究都涉及健康个体和分类算法的评估。一些 BCI 已经被证明对由于肌萎缩性侧索硬化症而肌肉功能极小的用户有潜在益处。然而，在 BCI 能够在临床上有用之前，仍然需要成功解决几个挑战。
