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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Main Authors: Shiman, F., Safavi, S.H., Vaneghi, F.M., Oladazimi, M., Safari, M.J., Ibrahim, F.
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
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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spelling 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
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle 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
description 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
_version_ 1643688520348336128
score 13.209306