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

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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
URI https://vuir.vu.edu.au/id/eprint/31198
DOI https://doi.org/10.1016/j.cmpb.2015.01.002
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Current > FOR Classification > 0807 Library and Information Studies
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Current > Division/Research > College of Science and Engineering
Keywords electroencephalogram; epilepsy; OA_PCA; feature extraction; data; LS-SVM_1v1classifier; epileptic EEG signals recognition; least square support vector machine
Citations in Scopus 56 - View on Scopus
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