Single-Trial Extraction of Visual Evoked Potentials from the Brain
Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An eigendecomposition-based subspace approach originally proposed for enhancing speech corrupted by colored noise, has been investigated and tested in the s...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/1219/ |
| _version_ | 1848659084528582656 |
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| author | Yusoff, Mohd Zuki Kamel , Nidal M Hani, Ahmad Fadzil |
| author_facet | Yusoff, Mohd Zuki Kamel , Nidal M Hani, Ahmad Fadzil |
| author_sort | Yusoff, Mohd Zuki |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Estimating a visual evoked potential (VEP) from the human
brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An eigendecomposition-based
subspace approach originally proposed for enhancing
speech corrupted by colored noise, has been investigated
and tested in the single trial extraction of VEPs. This
scheme arbitrarily labeled as an eigen-decomposition (ED)
method has been compared with a third-order correlation
(TOC) method, using both realistic simulation and real
human data. The results produced by the ED algorithm
show much cleaner waveforms, and higher degree of
consistency in detecting the P100, P200, and P300 peaks. |
| first_indexed | 2025-11-13T07:24:48Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:1219 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| last_indexed | 2025-11-13T07:24:48Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:12192010-04-15T02:44:45Z http://scholars.utp.edu.my/id/eprint/1219/ Single-Trial Extraction of Visual Evoked Potentials from the Brain Yusoff, Mohd Zuki Kamel , Nidal M Hani, Ahmad Fadzil TK Electrical engineering. Electronics Nuclear engineering Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An eigendecomposition-based subspace approach originally proposed for enhancing speech corrupted by colored noise, has been investigated and tested in the single trial extraction of VEPs. This scheme arbitrarily labeled as an eigen-decomposition (ED) method has been compared with a third-order correlation (TOC) method, using both realistic simulation and real human data. The results produced by the ED algorithm show much cleaner waveforms, and higher degree of consistency in detecting the P100, P200, and P300 peaks. 2008-08-25 Conference or Workshop Item PeerReviewed Yusoff, Mohd Zuki and Kamel , Nidal and M Hani, Ahmad Fadzil (2008) Single-Trial Extraction of Visual Evoked Potentials from the Brain. In: 16th European Signal Processing Conference (EUSIPCO 2008), August 25-29, Lausanne, Switzerland. http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569104423.pdf |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Yusoff, Mohd Zuki Kamel , Nidal M Hani, Ahmad Fadzil Single-Trial Extraction of Visual Evoked Potentials from the Brain |
| title | Single-Trial Extraction of Visual Evoked Potentials from the Brain |
| title_full | Single-Trial Extraction of Visual Evoked Potentials from the Brain |
| title_fullStr | Single-Trial Extraction of Visual Evoked Potentials from the Brain |
| title_full_unstemmed | Single-Trial Extraction of Visual Evoked Potentials from the Brain |
| title_short | Single-Trial Extraction of Visual Evoked Potentials from the Brain |
| title_sort | single-trial extraction of visual evoked potentials from the brain |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/1219/ http://scholars.utp.edu.my/id/eprint/1219/ |