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Table 1 Classification accuracy when outlier is introduced with different occurrence rate

From: L1 Norm based common spatial patterns decomposition for scalp EEG BCI

Subject

Method

Frequency

0.01

0.02

0.03

0.04

0.05

aa

CSP

0.55 ± 0.07

0.54 ± 0.08

0.54 ± 0.08

0.53 ± 0.07

0.54 ± 0.08

TR-CSP

0.68 ± 0.07†

0.68 ± 0.07†

0.67 ± 0.07†

0.67 ± 0.07†

0.67 ± 0.07†

L1-SVD-CSP

0.74 ± 0.08‡ *

0.73 ± 0.07‡ *

0.72 ± 0.07‡ *

0.71 ± 0.07‡ *

0.71 ± 0.08‡ *

al

CSP

0.90 ± 0.12

0.84 ± 0.14

0.83 ± 0.14

0.83 ±0.13

0.83 ± 0.14

TR-CSP

0.94 ± 0.08†

0.91 ± 0.07†

0.89 ± 0.07†

0.87 ±0.07†

0.87 ± 0.06†

L1-SVD-CSP

0.95 ± 0.03‡ *

0.93 ± 0.03‡ *

0.92 ± 0.07‡ *

0.92 ± 0.06‡ *

0.91 ± 0.07‡ *

av

CSP

0.59 ± 0.09

0.59 ± 0.10

0.60 ±0.09

0.60 ± 0.09

0.61 ± 0.08

TR-CSP

0.63 ± 0.10†

0.63 ± 0.08†

0.66 ± 0.07†

0.65 ± 0.09†

0.64 ± 0.09†

L1-SVD-CSP

0.72 ± 0.06‡ *

0.70 ± 0.06‡ *

0.71 ± 0.08‡ *

0.71 ± 0.07‡ *

0.69 ± 0.08‡ *

aw

CSP

0.65 ± 0.11

0.63 ± 0.10

0.64 ± 0.10

0.60 ± 0.11

0.61 ± 0.10

TR-CSP

0.74 ± 0.12†

0.72 ± 0.08†

0.72 ± 0.03†

0.72 ± 0.03†

0.72 ± 0.03†

L1-SVD-CSP

0.81 ± 0.08‡ *

0.80 ± 0.07‡ *

0.80 ± 0.07‡ *

0.77 ± 0.08‡ *

0.77 ± 0.06‡ *

ay

CSP

0.57 ± 0.09

0.64 ± 0.13

0.68 ± 0.13

0.72 ± 0.14

0.76 ± 0.14

TR-CSP

0.84 ± 0.06†

0.83 ± 0.06†

0.82 ± 0.06†

0.82 ± 0.06†

0.82 ± 0.06†

L1-SVD-CSP

0.93 ± 0.06‡ *

0.92 ± 0.02‡ *

0.91 ± 0.03‡ *

0.91 ± 0.04‡ *

0.90 ± 0.04‡ *

  1. The McNemar test is performed to investigate the recognition difference between the three spatial filters, values in bold denote the better result. ‘‡’ indicates the significance between CSP and L1-SVD-CSP (p < 0.05); ‘†’ indicates the significance between CSP and TR-CSP (p < 0.05); ‘*’ indicates the significance between TR-CSP and L1-SVD-CSP (p < 0.05).
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