Estimation of visual evoked potentials using a signal subspace approach
Extraction of visual evoked potentials (VEPs) from the human brain is generally very difficult due to its poor signal-to-noise ratio (SNR) property. A signal subspace technique is presented to estimate VEPs hidden inside highly colored electroencephalogram (EEG) noise. This method is borrowed and mo...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2007
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/427/ http://scholars.utp.edu.my/id/eprint/427/1/paper.pdf |
| _version_ | 1848658983244529664 |
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| author | N.S., Kamel M.Z., Yusoff A.F.M., Hani |
| author_facet | N.S., Kamel M.Z., Yusoff A.F.M., Hani |
| author_sort | N.S., Kamel |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Extraction of visual evoked potentials (VEPs) from the human brain is generally very difficult due to its poor signal-to-noise ratio (SNR) property. A signal subspace technique is presented to estimate VEPs hidden inside highly colored electroencephalogram (EEG) noise. This method is borrowed and modified from signal subspace techniques originally used for enhancing speech corrupted by colored noise. The signal subspace is estimated by applying eigenvalue decomposition on the approximated signal covariance matrix. The signal subspace-based algorithm is able to satisfactorily extract the P100, P200 and P300 peak latencies from artificially generated noisy VEPs. The simulation results show that the estimator maintains an average success rate of 87 % with an average percentage error of less than 9 %, when subjected to SNR from 0 dB to -10 dB. ©2007 IEEE.
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| first_indexed | 2025-11-13T07:23:12Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:427 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:23:12Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:4272017-01-19T08:27:10Z http://scholars.utp.edu.my/id/eprint/427/ Estimation of visual evoked potentials using a signal subspace approach N.S., Kamel M.Z., Yusoff A.F.M., Hani TK Electrical engineering. Electronics Nuclear engineering Extraction of visual evoked potentials (VEPs) from the human brain is generally very difficult due to its poor signal-to-noise ratio (SNR) property. A signal subspace technique is presented to estimate VEPs hidden inside highly colored electroencephalogram (EEG) noise. This method is borrowed and modified from signal subspace techniques originally used for enhancing speech corrupted by colored noise. The signal subspace is estimated by applying eigenvalue decomposition on the approximated signal covariance matrix. The signal subspace-based algorithm is able to satisfactorily extract the P100, P200 and P300 peak latencies from artificially generated noisy VEPs. The simulation results show that the estimator maintains an average success rate of 87 % with an average percentage error of less than 9 %, when subjected to SNR from 0 dB to -10 dB. ©2007 IEEE. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/427/1/paper.pdf N.S., Kamel and M.Z., Yusoff and A.F.M., Hani (2007) Estimation of visual evoked potentials using a signal subspace approach. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 25 November 2007 through 28 November 2007, Kuala Lumpur. http://www.scopus.com/inward/record.url?eid=2-s2.0-57949115111&partnerID=40&md5=d242399f808c4bed33cffc1fe6bf0674 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering N.S., Kamel M.Z., Yusoff A.F.M., Hani Estimation of visual evoked potentials using a signal subspace approach |
| title | Estimation of visual evoked potentials using a signal subspace approach
|
| title_full | Estimation of visual evoked potentials using a signal subspace approach
|
| title_fullStr | Estimation of visual evoked potentials using a signal subspace approach
|
| title_full_unstemmed | Estimation of visual evoked potentials using a signal subspace approach
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| title_short | Estimation of visual evoked potentials using a signal subspace approach
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| title_sort | estimation of visual evoked potentials using a signal subspace approach |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/427/ http://scholars.utp.edu.my/id/eprint/427/ http://scholars.utp.edu.my/id/eprint/427/1/paper.pdf |