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Table 9 Cohen’s kappa coefficient for different methods using dataset 3. The largest value for each subject is highlighted in bold

From: An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information

Subject

CSP

CSSP

FBCSP

DFBCSP (FR)

DFBCSP (MI)

SFBCSP

SBLFB

Proposed

B0103T

0.526

0.494

0.620

0.535

0.593

0.470

0.565

0.615

B0203T

0.180

0.141

0.088

0.185

0.113

0.145

0.185

0.168

B0303T

0.008

0.031

0.018

0.010

0.073

0.100

0.014

0.120

B0403T

0.988

0.988

0.965

0.985

0.988

0.993

0.983

0.988

B0503T

0.669

0.115

0.430

0.500

0.578

0.499

0.840

0.810

B0603T

0.576

0.524

0.513

0.583

0.605

0.598

0.590

0.640

B0703T

0.718

0.724

0.690

0.758

0.805

0.755

0.850

0.778

B0803T

0.766

0.710

0.623

0.778

0.743

0.753

0.778

0.790

B0903T

0.655

0.655

0.583

0.555

0.675

0.500

0.613

0.675

Average

0.565

0.487

0.503

0.543

0.574

0.535

0.602

0.620