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  EEG feature extraction using parametric and non-parametric models

Shiman, F., Safavi, S., Molaei-Vaneghi, F., Oladazimi, M., Safari, M., & Ibrahim, F. (2012). EEG feature extraction using parametric and non-parametric models. In 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (pp. 66-70). Piscataway, NJ, USA: IEEE.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-8F67-B Version Permalink: https://hdl.handle.net/21.11116/0000-0001-8F68-A
Genre: Conference Paper

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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6211507 (Publisher version)
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 Creators:
Shiman, F, Author
Safavi, SH, Author
Molaei-Vaneghi, F1, Author           
Oladazimi, M, Author
Safari, MJ, Author
Ibrahim, F, Author
Affiliations:
1Medical Informatics and Biological Electro-Mechanical-Systems (MIMEMS), Specialized Laboratory, Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia, 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: 2012-01
 Publication Status: Issued
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Title: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012)
Place of Event: Hong Kong, Shenzhen, China
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