Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis.
Saved in:
| Title: | Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis. |
|---|---|
| Authors: | Issa MF; Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Egyetem u.10, 8200 Veszprém, Hungary.; Department of Scientific Computing, Faculty of Computers and Informatics, Benha University, Fareed Nada, Benha 13511, Egypt., Juhasz Z; Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Egyetem u.10, 8200 Veszprém, Hungary. |
| Source: | Brain sciences [Brain Sci] 2019 Dec 04; Vol. 9 (12). Date of Electronic Publication: 2019 Dec 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101598646 Publication Model: Electronic Cited Medium: Print ISSN: 2076-3425 (Print) Linking ISSN: 20763425 NLM ISO Abbreviation: Brain Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31817120 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Issa+MF%22">Issa MF</searchLink>; Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Egyetem u.10, 8200 Veszprém, Hungary.; Department of Scientific Computing, Faculty of Computers and Informatics, Benha University, Fareed Nada, Benha 13511, Egypt.<br /><searchLink fieldCode="AU" term="%22Juhasz+Z%22">Juhasz Z</searchLink>; Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Egyetem u.10, 8200 Veszprém, Hungary. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101598646%22">Brain sciences</searchLink> [Brain Sci] 2019 Dec 04; Vol. 9 (12). <i>Date of Electronic Publication: </i>2019 Dec 04. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101598646 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2076-3425 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220763425%22">20763425 </searchLink><i>NLM ISO Abbreviation: </i>Brain Sci <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31817120 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/brainsci9120355 Languages: – Code: eng Text: English Titles: – TitleFull: Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Issa MF – PersonEntity: Name: NameFull: Juhasz Z IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 12 Text: 2019 Dec 04 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 2076-3425 Numbering: – Type: volume Value: 9 – Type: issue Value: 12 Titles: – TitleFull: Brain sciences Type: main |
| ResultId | 1 |