| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322539 | Expert Systems with Applications | 2012 | 7 Pages |
Abstract
⺠Automatic EOG artifact removal is proposed to eliminate the EOG artifacts by means of ICA and correlation coefficient. ⺠The features are extracted from wavelet transform data by amplitude modulation method. ⺠The SVM is used for the discrimination of wavelet-based AM features. ⺠The proposed method compares with EEG data without EOG artifact removal, band power features and LDA classifier.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wei-Yen Hsu, Chao-Hung Lin, Hsien-Jen Hsu, Po-Hsun Chen, I-Ru Chen,