Research of BCI system based on neural networks with high generalization and multi-channel orthogonal components

脑机接口(BCI)系统已经研制成功。提出了一种突出脑电波特征的方法。采用正交化分量和并行多层神经网络对单元任务进行分类。对这些结果进行平均，以获得最终结果。获得了较高的心理任务分类性能。另一种方法是将特殊滤波器、二进制分类器和纠错码相结合，从而获得了较高的性能。

Brain Computer Interface(BCI) system has been developed. A method to emphasize features of the brain waves has been proposed. The orthogonalized components and parallel multi-layer neural networks are used to classify themental tasks. These results are averaged to obtain the final result. The high performance for mental task classification has been obtained. Another method, combining the special filter, binary classifiers and error correcting code, has beenproposed, resulting in high performance.