在简要分析ICA理论及其算法的基础上，提出将其应用到脑电中的眼电伪迹的去除任务。
Based on the brief introductions of ICA theory and algorithm, we apply ICA to the removal of ocular artifacts from EEG recordings.
利用ICA方法对实测脑电信号中的心电伪迹和工频噪声进行了消除，成功去除噪声并保留脑电信号的特征不变。
ECG artifact and power noise are successfully removed from the origanal EEG signal with the ICA method with no harm to the details of EEG signals.
提出了一种新计算方法来去除多微电极技术记录到的刺激伪迹。
The present study has described a novel method to suppress the stimulus artifacts in multi-electrode array systems.
提出了一种新计算方法来去除多微电极技术记录到的刺激伪迹。
The present study has described a novel method to suppress the stimulus artifacts in multi-electrode array systems.
应用推荐