Classification of Epilepsy Using High-Order Spectra Features and Principle Component Analysis.
| Publicado en: | Journal of Medical Systems Vol. 36; no. 3; pp. 1731 - 1744 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Jun2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117143942&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117143942 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Jun2012 vid: 36 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117143942 117143942 117143942 10.1007/s10916-010-9633-6 117143942 ppf: 1731 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Classification of Epilepsy Using High-Order Spectra Features and Principle Component Analysis. aug: au: Du, Xian Dua, Sumeet Acharya, Rajendra Chua, Chua affil: Department of Computer Science, Louisiana Tech University, Ruston 71272 USA sug: subj: Epilepsy Classification Electroencephalography Computing Methodologies Factor Analysis Human ROC Curve Logistic Regression Neural Networks (Computer) Machine Learning Funding Source pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts tracings Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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