SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.
| Published in: | Medical & Biological Engineering & Computing Vol. 60; no. 12; pp. 3567 - 3584 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Dec2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160112204&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160112204 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2022 vid: 60 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 160112204 159687081 10.1007/s11517-022-02692-z 160112204 ppf: 3567 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals. aug: au: Juyal, Ruchi Muthusamy, Hariharan Kumar, Niraj affil: Department of Electronics Engineering, National Institute of Technology Uttarakhand, 246174, Srinagar Garhwal, Uttarakhand, India sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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