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Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification

Siuly, Siuly ORCID: 0000-0003-2491-0546 and Li, Y (2015) Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification. Computer Methods and Programs in Biomedicine, 119 (1). 29 - 42. ISSN 0169-2607

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Item Type: Article
Uncontrolled Keywords: electroencephalogram; epilepsy; OA_PCA; feature extraction; data; LS-SVM_1v1classifier; epileptic EEG signals recognition; least square support vector machine
Subjects: FOR Classification > 0807 Library and Information Studies
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 08 Aug 2016 23:43
Last Modified: 24 May 2017 08:51
URI: http://vuir.vu.edu.au/id/eprint/31198
DOI: https://doi.org/10.1016/j.cmpb.2015.01.002
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Citations in Scopus: 35 - View on Scopus

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