EEG feature extraction using parametric and non-parametric models
We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide good performance for EEG signal while non-parametric...
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2012
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Online Access: | http://eprints.um.edu.my/9282/1/EEG_feature_extraction_using_parametric_and_non-parametric_models.pdf http://eprints.um.edu.my/9282/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84864217471&partnerID=40&md5=d9c984daa9d9a6827f71899b2a742667 http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=6211507 |
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my.um.eprints.92822017-11-01T05:35:49Z http://eprints.um.edu.my/9282/ EEG feature extraction using parametric and non-parametric models Shiman, F. Safavi, S.H. Vaneghi, F.M. Oladazimi, M. Safari, M.J. Ibrahim, F. T Technology (General) TA Engineering (General). Civil engineering (General) We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide good performance for EEG signal while non-parametric method lack of detail information on the EEG analysis. © 2012 IEEE. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/9282/1/EEG_feature_extraction_using_parametric_and_non-parametric_models.pdf Shiman, F. and Safavi, S.H. and Vaneghi, F.M. and Oladazimi, M. and Safari, M.J. and Ibrahim, F. (2012) EEG feature extraction using parametric and non-parametric models. In: IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering, 2012, Hong Kong and Shenzhen. http://www.scopus.com/inward/record.url?eid=2-s2.0-84864217471&partnerID=40&md5=d9c984daa9d9a6827f71899b2a742667 http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=6211507 |
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T Technology (General) TA Engineering (General). Civil engineering (General) Shiman, F. Safavi, S.H. Vaneghi, F.M. Oladazimi, M. Safari, M.J. Ibrahim, F. EEG feature extraction using parametric and non-parametric models |
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We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide good performance for EEG signal while non-parametric method lack of detail information on the EEG analysis. © 2012 IEEE. |
format |
Conference or Workshop Item |
author |
Shiman, F. Safavi, S.H. Vaneghi, F.M. Oladazimi, M. Safari, M.J. Ibrahim, F. |
author_facet |
Shiman, F. Safavi, S.H. Vaneghi, F.M. Oladazimi, M. Safari, M.J. Ibrahim, F. |
author_sort |
Shiman, F. |
title |
EEG feature extraction using parametric and non-parametric models |
title_short |
EEG feature extraction using parametric and non-parametric models |
title_full |
EEG feature extraction using parametric and non-parametric models |
title_fullStr |
EEG feature extraction using parametric and non-parametric models |
title_full_unstemmed |
EEG feature extraction using parametric and non-parametric models |
title_sort |
eeg feature extraction using parametric and non-parametric models |
publishDate |
2012 |
url |
http://eprints.um.edu.my/9282/1/EEG_feature_extraction_using_parametric_and_non-parametric_models.pdf http://eprints.um.edu.my/9282/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84864217471&partnerID=40&md5=d9c984daa9d9a6827f71899b2a742667 http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=6211507 |
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13.209306 |