Research Article
Motor Imagery EEG Decoding Based on New Spatial-Frequency Feature and Hybrid Feature Selection Method
Table 6
The classification accuracy achieved by various methods (data set 1: left-hand versus right-hand).
| Subject | GRU-RNN [28] (2018) | IST-TSVM [29] (2019) | ICA + PSR + CSP [30] (2020) | p-LTCSP [31] (2020) | CSP-FBLBP |
| A01 | 84.82 | 80.14 | 80 | 82.6 | 92.36 | A02 | 65.32 | 51.55 | 65.36 | 70.23 | 54.17 | A03 | 83.54 | 95.54 | 87.14 | 70.23 | 93.75 | A04 | 67.67 | 53.6 | 67.5 | 55.15 | 67.36 | A05 | 64 | 51.65 | 55.54 | 54.36 | 64.58 | A06 | 70.87 | 56.83 | 50.18 | 60.14 | 64.58 | A07 | 84.96 | 56.58 | 91.79 | 73.38 | 77.78 | A08 | 71.95 | 93.42 | 84.11 | 85.29 | 93.75 | A09 | 68.9 | 92.66 | 87.86 | 74.62 | 91.67 | Mean ± Std | 73.56 ± 8.53 | 70.22 ± 19.74 | 74.39 ± 15.18 | 69.56 ± 11.10 | 77.78 ± 15.53 |
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