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: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| 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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| Institution: | Universiti Malaya |
| Language: | English |
| Summary: | 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. |
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