Research Article

Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso

Table 5

Experimental results on different datasets.

Channel/feature selection methodDataset ADataset EDataset FDataset G
ChannelFeatureError rate (%)ChannelFeatureError rate (%)ChannelFeatureError rate (%)ChannelFeatureError rate (%)

Elastic Net4412032.60418916.16273843.864916823.50
Lasso274331.28386015.28273843.86224923.51
Sparse Group Lasso (α = 0.25)1689031.7222119317.031374240.961286822.22
Sparse Group Lasso (α = 0.5)1873729.261870316.591458440.521468620.94
Sparse Group Lasso (α = 0.75)1744032.152350815.281432940.521437020.94
Group Lasso17119031.2826182017.4716112040.351070022.22