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图 FIG. 487. FIG. 487.
Figure FIG. 487.. FIG. 487.
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图 1 Dataset 1（a）和Dataset 2（b）的实验范式
Figure 1. Experimental paradigms of dataset 1 (a) and dataset 2 (b)
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图 2 MCFS算法导联选择流程图
Figure 2. Flow chart of channel selection with MCFS algorithm
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图 3 各个受试者在AC和MCFS算法下的导联选择数
Figure 3. Numbers of channels selected by each subject under AC and MCFS algorithm
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图 4 Dataset 1和Dataset 2的导联选择分布图
Figure 4. Distribution of selected channels for dataset 1 and dataset 2
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Subject Trust value MI CS PCA a 1.9×109 1.8×10−9 2×10−13 b 3.7×10−9 1.1 2.5×10−13 f 8.3×1024 1.1×10−2 9.9×10−1 g 1.1×1011 2.7×1010 1.1×105 aa 4.5×1066 7.7×1037 2.3×1032 al 1.4×10157 1.5×1015 1.5×1015 av 4×10119 2.2×103 2.2×103 aw 10113 2.4×1011 4.1×1015 ay 7.7×10198 2.2×1020 4.6×1021 表 1 各受试者对于3种相关性算法的信任值
Table 1. Trust values of three correlation algorithms for each subject
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Method Dataset 1 Datasets 2 a b f g Mean aa al av aw ay Mean AC 59 59 59 59 59 118 118 118 118 118 118 MCFS 11 4 13 24 13 25 28 52 51 19 35 表 2 各个受试者在AC和MCFS算法下的导联选择数
Table 2. Numbers of channels selected by each subject under AC and MCFS algorithm
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Subject Accuracy/% AC 3C CSP-rank MCFS a 68 75 79.75 83 b 49.5 56 53.55 63 f 62.5 67.5 74.1 83.5 g 83.5 87 81 94.5 Mean±std 65.9±14.1 71.4±13 72.1±12.7 81±13.1 表 3 Dataset 1在不同导联选择算法下的分类精度
Table 3. Classification accuracy of dataset 1 with different algorithms
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Subject Accuracy/% AC 3C CSP-rank MCFS aa 62.14 66.43 72.36 80.71 al 90 89.29 92.54 97.14 av 61.43 57.85 61.61 72.86 aw 84.29 78.93 83.18 93.21 ay 76.79 89.29 84.11 92.86 Mean±std 74.9±12.9 76.4±14 78.8±12 87.4±10.2 表 4 Dataset 2在不同导联选择算法下的分类精度
Table 4. Classification accuracy of dataset 2 with different algorithms
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表 5 Dataset 1在不同导联选择算法下的分类精度
Table 5. Comparison of classification accuracy with different algorithms for dataset 1
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表 6 Dataset 2在不同导联选择算法下的分类精度
Table 6. Comparison of classification accuracy with different algorithms for dataset 2
图共
5 个 表共
6 个
