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: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: | 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 |
| _version_ | 1848787266333310976 |
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| author | Abd Rahman, Faridah Othman, Mohd Fauzi Hamzah, Mohd Ilham Rusydan Hamzah |
| author_facet | Abd Rahman, Faridah Othman, Mohd Fauzi Hamzah, Mohd Ilham Rusydan Hamzah |
| author_sort | Abd Rahman, Faridah |
| building | IIUM Repository |
| collection | Online Access |
| description | 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 remove the artifacts from EEG signals is highly desirable. One of the methods that can be applied for automatic artifacts removal is adaptive filtering through an adaptive noise cancellation (ANC) system. In this paper, we compare the performance of three adaptive algorithms; namely LMS, RLS, and ANFIS, in removing the eye blink from EEG signals. To evaluate the results, the SNR, MSE and correlation coefficient values are calculated based on the results obtained by using one of the widely used methods for blinks removal, independent component analysis (ICA). The results show that RLS algorithm provides the best performance when comparing with the ICA method. |
| first_indexed | 2025-11-14T17:22:12Z |
| format | Proceeding Paper |
| id | iium-70296 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:22:12Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-702962019-02-19T08:30:20Z http://irep.iium.edu.my/70296/ Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram Abd Rahman, Faridah Othman, Mohd Fauzi Hamzah, Mohd Ilham Rusydan Hamzah TK Electrical engineering. Electronics Nuclear engineering TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7885 Computer engineering 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 remove the artifacts from EEG signals is highly desirable. One of the methods that can be applied for automatic artifacts removal is adaptive filtering through an adaptive noise cancellation (ANC) system. In this paper, we compare the performance of three adaptive algorithms; namely LMS, RLS, and ANFIS, in removing the eye blink from EEG signals. To evaluate the results, the SNR, MSE and correlation coefficient values are calculated based on the results obtained by using one of the widely used methods for blinks removal, independent component analysis (ICA). The results show that RLS algorithm provides the best performance when comparing with the ICA method. Institute of Electrical and Electronics Engineers Inc. 2018 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/70296/7/70296_Comparison%20on%20performance%20of%20adaptive%20algorithms_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/70296/19/70296_Comparison%20on%20performance%20of%20adaptive.pdf Abd Rahman, Faridah and Othman, Mohd Fauzi and Hamzah, Mohd Ilham Rusydan Hamzah (2018) Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram. In: International Conference on Computer and Communication Engineering (ICCCE), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539290 10.1109/ICCCE.2018.8539290 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7885 Computer engineering Abd Rahman, Faridah Othman, Mohd Fauzi Hamzah, Mohd Ilham Rusydan Hamzah Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram |
| title | Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram |
| title_full | Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram |
| title_fullStr | Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram |
| title_full_unstemmed | Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram |
| title_short | Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram |
| title_sort | comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7885 Computer engineering |
| url | 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 |