Research Article

Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification

Table 4

Within-subject classification accuracy_HGD.

AlgorithmAccuracy (%)Mean
A01A02A03A04A05A06A07A08A09A10A11A12A13A14

FBCSP76.1285.9295.7994.2297.7389.8988.8794.9078.9089.8785.8795.7895.1269.7088.5
Deep ConvNet75.6287.5097.5098.1294.3793.7586.8886.2574.3894.3778.5694.3798.7567.5088.1
Shallow ConvNet79.3781.2596.8897.5091.8792.5082.5093.7576.8888.7580.0093.1395.6367.5087.0
EEGNet-4, 282.3290.6394.3695.3190.3491.1090.1390.9985.3692.3488.3394.1895.2173.1089.6
EEGNet-8, 281.8190.8697.6397.6793.4894.4692.6691.2984.6691.6487.6393.4893.5170.4090.1
Ours85.2593.5597.4698.6897.4795.2793.2892.4488.2093.6690.6595.6797.3877.7992.6