Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram
The interference of eye blink artifacts can cause serious distortion to electroencephalogram (EEG) which could bias the signal interpretation and reduce the classification accuracy in a brain-computer interface (BCI) application. To overcome this problem, an algorithm to automatically detect and rem...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/70296/ http://irep.iium.edu.my/70296/ http://irep.iium.edu.my/70296/ http://irep.iium.edu.my/70296/7/70296_Comparison%20on%20performance%20of%20adaptive%20algorithms_SCOPUS.pdf http://irep.iium.edu.my/70296/19/70296_Comparison%20on%20performance%20of%20adaptive.pdf |