基于脑电信号预发作数据段选取的癫痫发作预测
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王雅静,王群,李博闻,刘志文,朴媛媛,遇涛
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Seizure prediction based on pre-ictal period selection of EEG signal
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Ya-jing WANG,Qun WANG,Bo-wen LI,Zhi-wen LIU,Yuan-yuan PIAO,Tao YU
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| 表 1 MIT公共数据库预测结果 |
| Tab.1 Prediction results based on MIT dataset |
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| 编号 | Ne | nh | R /% | FPR /h−1 | | 1 | 6 | 5.6 | 94.44 | 0.0430 | | 5 | 4 | 4.0 | 100.00 | 0.1311 | | 6 | 10 | 9.5 | 95.00 | 0.1741 | | 7 | 3 | 3.0 | 100.00 | 0.1717 | | 8 | 5 | 4.4 | 88.00 | 0.0419 | | 9 | 4 | 3.5 | 87.50 | 0.1177 | | 10 | 7 | 6.5 | 93.88 | 0.0884 | | 11 | 3 | 3.0 | 100.00 | 0.1387 | | 14 | 6 | 6.0 | 100.00 | 0.1195 | | 16 | 5 | 4.4 | 88.00 | 0.1814 | | 18 | 4 | 3.7 | 93.75 | 0.0916 | | 19 | 2 | 2.0 | 100.00 | 0.0056 | | 20 | 6 | 6.0 | 100.00 | 0.0487 | | 22 | 3 | 3.0 | 100.00 | 0.1483 | | 平均 | − | − | 95.76 | 0.1073 |
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