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...
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Main Authors: | Li, Xinyang, Guan, Cuntai, Zhang, Haihong, Ang, Kai Keng |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/88447 http://hdl.handle.net/10220/44617 |
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Institution: | Nanyang Technological University |
Language: | English |
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