Skip to main content
. 2020 Aug 22;20(17):4749. doi: 10.3390/s20174749

Table 11.

Classification accuracy of the proposed methods and other resent methods for BCI Competition IV Dataset IIa.

Methods A01 A02 A03 A04 A05 A06 A07 A08 A09 Mean ± Std
GRU-RNN [75] (2018) 84.82 65.32 83.54 67.67 64.00 70.87 84.96 71.95 68.90 73.56 ± 4.38
CSP\AM-BA-SVM [76] (2018) 90.56 66.32 91.99 70.28 68.53 55.75 90.63 87.80 85.07 78.55 ± 13.40
ERDSA [77] (2018) 86.81 63.89 94.44 68.75 56.25 69.44 78.47 97.91 93.75 78.86 ± 15.07
IST-TSVM [78] (2019) 80.14 51.55 95.54 53.60 51.65 56.83 56.58 93.42 92.66 70.22 ± 19.74
CA+PSR+CSP [79] (2020) 80.00 65.36 87.14 67.50 55.54 50.18 91.79 84.11 87.86 74.39 ± 15.18
MTFL [80] (2020) 91.67 63.19 95.14 72.22 64.58 68.06 79.17 97.92 92.37 80.48 ± 13.97
p-LTCSP [81] (2020) 82.60 70.23 70.23 55.15 54.36 60.14 73.38 85.29 74.62 69.56 ± 11.10
CSP-Wavelet+LOG 93.06 61.81 95.83 72.92 58.33 68.06 81.25 95.14 93.06 79.91 ± 15.06
CSP-WPD+LOG 91.67 55.56 97.22 72.22 62.50 68.06 79.17 95.14 93.06 79.40 ± 15.56
CSP-FB+LOG 90.28 61.81 97.92 69.44 52.78 69.44 77.08 95.14 90.97 78.32 ± 16.02