Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification. Issue 1 (April 2015)

• Record Type: Journal Article
• Authors: Siuly, Siuly; Li, Yan
• Is Part Of: Computer methods and programs in biomedicine. Volume 119:Issue 1(2015)
• Page Start: 29
• Page End: 42
• Publication Date: 2015-04
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.01.002
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">Development of a novel feature extraction method denoted as OA_PCA.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">Introducing Optimum allocation approach that in our innovative concept to get most representative data points from a time-window.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">Better performances than some existing methods.</p> </list-item> </list> </p> </sec> </abstract>