Discriminative Ocular Artifact Correction for Feature Learning in EEG Analysis
Electrooculogram (EOG) artifact contamination is a common critical issue in general electroencephalogram (EEG) studies as well as in brain-computer interface (BCI) research. It is especially challenging when dedicated EOG channels are unavailable or when there are very few EEG channels available for...
Saved in:
| Main Authors: | , , , |
|---|---|
| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2018
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/88447 http://hdl.handle.net/10220/44617 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|