Lotte F, Congedo M, Lécuyer A, Lamarche F, Arnaldi B
IRISA/INRIA Rennes, Campus universitaire de Beaulieu, Avenue du Général Leclerc, 35042 RENNES Cedex, France.
J Neural Eng. 2007 Jun;4(2):R1-R13. doi: 10.1088/1741-2560/4/2/R01. Epub 2007 Jan 31.
In this paper we review classification algorithms used to design brain-computer interface (BCI) systems based on electroencephalography (EEG). We briefly present the commonly employed algorithms and describe their critical properties. Based on the literature, we compare them in terms of performance and provide guidelines to choose the suitable classification algorithm(s) for a specific BCI.
在本文中，我们回顾了用于基于脑电图（EEG）设计脑机接口（BCI）系统的分类算法。我们简要介绍了常用算法，并描述了它们的关键特性。基于文献，我们在性能方面对它们进行了比较，并为为特定BCI选择合适的分类算法提供了指导。
