基于欧式空间⁃加权逻辑回归迁移学习的运动想象EEG信号解码
EEG signal decoding of motor imagination based on euclidean space⁃weighted logistic regression transfer learning
（b）九个被试的t?SNE可视化；（c）被试1作为目标被试的t?SNE可视化
基于欧式空间⁃加权逻辑回归迁移学习的运动想象EEG信号解码 |
| 陈黎, 龚安民, 丁鹏, 伏云发 |
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EEG signal decoding of motor imagination based on euclidean space⁃weighted logistic regression transfer learning |
| Li Chen, Anmin Gong, Peng Ding, Yunfa Fu |
| 图4 被试的t?SNE可视化：（a）被试1的左右手EA对齐算法对齐示意图，每行是不同的导联上的EEG信号； （b）九个被试的t?SNE可视化；（c）被试1作为目标被试的t?SNE可视化 |
| Fig.4 The t?SNE visualization of the subjects：(a) the alignment diagram of the left and right?handed EA alignment algorithm of the Test 1 with each row being the EEG signal on a different lead，(b) the t?SNE visuali?zation of nine subjects，(c) the t?SNE visualization of the target subject of Test 1 |
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