文件名称:cntData_CSP_FLDA
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本算法针对运动想象的脑电数据，进行预处理并后续用分类器做分类。
该实验所用的的脑电特征提取方法主要是csp空间滤波，并后续用FLDA来进行特征分类。最终得到较好的效果(In this algorithm, the EEG data of motion imagination are preprocessed and then classified by classifier.
The main feature extraction method of EEG in this experiment is CSP spatial filtering, and FLDA is used for feature classification. Finally, good results are obtained)
该实验所用的的脑电特征提取方法主要是csp空间滤波，并后续用FLDA来进行特征分类。最终得到较好的效果(In this algorithm, the EEG data of motion imagination are preprocessed and then classified by classifier.
The main feature extraction method of EEG in this experiment is CSP spatial filtering, and FLDA is used for feature classification. Finally, good results are obtained)
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| cntData_CSP_FLDA | 0 | 2019-10-18 |
| cntData_CSP_FLDA\EEG_data_left.txt | 3729496 | 2019-09-19 |
| cntData_CSP_FLDA\EEG_data_right.txt | 3548556 | 2019-09-19 |
| cntData_CSP_FLDA\EEG_label.txt | 88 | 2019-08-03 |
| cntData_CSP_FLDA\EEG_Pretreatment.py | 6621 | 2019-10-18 |
| cntData_CSP_FLDA\__init__.py | 0 | 2019-10-14 |
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