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  EEG Feature Extraction using Parametric and Nonparametric Modelling Techniques

Shiman, F., Safavi, H., Molaei-Vaneghi, F., Oladazimi, M., Safari, M., & Ibrahim, F. (2012). EEG Feature Extraction using Parametric and Nonparametric Modelling Techniques. In 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (pp. 66-70). Piscataway, NJ, USA: IEEE. doi:10.1109/BHI.2012.6211507.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-C43D-C Version Permalink: http://hdl.handle.net/21.11116/0000-0003-C43E-B
Genre: Conference Paper

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 Creators:
Shiman, F, Author
Safavi, H, Author
Molaei-Vaneghi, F1, Author              
Oladazimi, M, Author
Safari, MJ, Author
Ibrahim, F, Author
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1External Organizations, ou_persistent22              

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 Abstract: 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.

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 Dates: 2012-06
 Publication Status: Published online
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1109/BHI.2012.6211507
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Title: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012)
Place of Event: 2012-01-05
Start-/End Date: 2012-01-05 - 2012-01-07

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Title: 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 66 - 70 Identifier: ISBN: 978-1-4577-2177-9