基于注意力机制和深度学习的运动想象脑电信号分类方法
张玮, 赵永虹, 邱桃荣

Classification of motor imagery EEG signals based on attention mechanism and deep learning
Wei Zhang, Yonghong Zhao, TaoRong Qiu
表3 不同卷积层数的ABiLSTM?CNN的分类准确率
Table 3 Classification accuracy of ABiLSTM?CNN with different convolution layers

卷积

层数

卷积核大小
1×31×51×71×9
183.12%83.35%83.24%83.09%
284.75%85.10%85.47%86.33%
388.82%89.24%89.35%88.67%
488.48%88.96%87.61%88.02%
587.34%86.84%87.80%87.73%