A Review of Processing Methods and Classification Algorithm for EEG Signal.
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| Title: | A Review of Processing Methods and Classification Algorithm for EEG Signal. |
|---|---|
| Authors: | Yu Xie1 yu.xie@inf.unideb.hu, Oniga, Stefan1 oniga.istvan@inf.unideb.hu |
| Source: | Carpathian Journal of Electronic & Computer Engineering. 2020, Vol. 12 Issue 3, p23-29. 7p. |
| Subjects: | Feature extraction, Brain evolution, Biomedical signal processing, Signal processing, Deep learning, Electroencephalography |
| Abstract: | The analysis technique of EEG signals is developing promptly with the evolution of Brain Computer-Interfaces science. The processing and classification algorithm of EEG signals includes three states: pre-processing, feature extraction and classification. The article discusses both conventional and recent processing techniques of EEG signals at the phases of preprocessing, feature extraction and classification. Finally, analyze popular research directions in the future. [ABSTRACT FROM AUTHOR] |
| Copyright of Carpathian Journal of Electronic & Computer Engineering is the property of North University Centre of Baia Mare, Electronic & Computer Engineering Dept. Engineering of Faculty and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 146458162 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Review of Processing Methods and Classification Algorithm for EEG Signal. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yu+Xie%22">Yu Xie</searchLink><relatesTo>1</relatesTo><i> yu.xie@inf.unideb.hu</i><br /><searchLink fieldCode="AR" term="%22Oniga%2C+Stefan%22">Oniga, Stefan</searchLink><relatesTo>1</relatesTo><i> oniga.istvan@inf.unideb.hu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Carpathian+Journal+of+Electronic+%26+Computer+Engineering%22">Carpathian Journal of Electronic & Computer Engineering</searchLink>. 2020, Vol. 12 Issue 3, p23-29. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Feature+extraction%22">Feature extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+evolution%22">Brain evolution</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+signal+processing%22">Biomedical signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The analysis technique of EEG signals is developing promptly with the evolution of Brain Computer-Interfaces science. The processing and classification algorithm of EEG signals includes three states: pre-processing, feature extraction and classification. The article discusses both conventional and recent processing techniques of EEG signals at the phases of preprocessing, feature extraction and classification. Finally, analyze popular research directions in the future. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Carpathian Journal of Electronic & Computer Engineering is the property of North University Centre of Baia Mare, Electronic & Computer Engineering Dept. Engineering of Faculty and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=146458162 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2478/cjece-2020-0004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 23 Subjects: – SubjectFull: Feature extraction Type: general – SubjectFull: Brain evolution Type: general – SubjectFull: Biomedical signal processing Type: general – SubjectFull: Signal processing Type: general – SubjectFull: Deep learning Type: general – SubjectFull: Electroencephalography Type: general Titles: – TitleFull: A Review of Processing Methods and Classification Algorithm for EEG Signal. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu Xie – PersonEntity: Name: NameFull: Oniga, Stefan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 18449689 Numbering: – Type: volume Value: 12 – Type: issue Value: 3 Titles: – TitleFull: Carpathian Journal of Electronic & Computer Engineering Type: main |
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