Subject and Class Specific Frequency Bands Selection for Multiclass Motor Imagery Classification
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Suk, Heung-Il | - |
dc.contributor.author | Lee, Seong-Whan | - |
dc.date.accessioned | 2021-09-07T21:20:31Z | - |
dc.date.available | 2021-09-07T21:20:31Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 0899-9457 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/114894 | - |
dc.description.abstract | EEG-based discrimination among motor imagery states has been widely studied for brain-computer interfaces (BCIs) due to the great potential for real-life applications. However, in terms of designing a motor imagery-based BCI system, a lot of research in the literature either uses a frequency band of interest selected manually based on the visual analysis of EEG data or is set to a general broad band, causing performance degradation in classification. In this article, we propose a novel method of selecting subject and class specific frequency bands based on the analysis of a channel-frequency matrix, which we call a channel-frequency map. We operate the classification process for each frequency band individually, i.e., spatial filtering, feature extraction, and classification, and determine a class label for an input EEG by considering the outputs from multiple classifiers together at the end. From our experiments on a public dataset of BCI Competition IV (2008) II-a that includes four motor imagery tasks from nine subjects, the proposed algorithm outperformed the common spatial pattern (CSP) algorithm in a broad band and a filter bank CSP algorithm on average in terms of cross-validation and session-to-session transfer rate. Furthermore, a considerable increase of classification accuracy has been achieved for certain subjects. We also would like to note that the proposed data-driven frequency bands selection method is applicable to other kinds of single-trial EEG classifications that are based on modulations of brain rhythms, by no means limited to motor imagery-based BCI applications. (C) 2011 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 21, 123-130, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ima.20283 | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | BRAIN-COMPUTER INTERFACES | - |
dc.subject | COMMON SPATIAL-PATTERNS | - |
dc.subject | SINGLE-TRIAL EEG | - |
dc.subject | FILTERS | - |
dc.subject | BCI | - |
dc.title | Subject and Class Specific Frequency Bands Selection for Multiclass Motor Imagery Classification | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Suk, Heung-Il | - |
dc.contributor.affiliatedAuthor | Lee, Seong-Whan | - |
dc.identifier.doi | 10.1002/ima.20283 | - |
dc.identifier.scopusid | 2-s2.0-79955883498 | - |
dc.identifier.wosid | 000291155100002 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, v.21, no.2, pp.123 - 130 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY | - |
dc.citation.title | INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY | - |
dc.citation.volume | 21 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 123 | - |
dc.citation.endPage | 130 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Optics | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Optics | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.subject.keywordPlus | BRAIN-COMPUTER INTERFACES | - |
dc.subject.keywordPlus | COMMON SPATIAL-PATTERNS | - |
dc.subject.keywordPlus | SINGLE-TRIAL EEG | - |
dc.subject.keywordPlus | FILTERS | - |
dc.subject.keywordPlus | BCI | - |
dc.subject.keywordAuthor | brain-computer interface | - |
dc.subject.keywordAuthor | frequency bands selection | - |
dc.subject.keywordAuthor | motor imagery classification | - |
dc.subject.keywordAuthor | ERD/ERS | - |
dc.subject.keywordAuthor | electroencephalography | - |
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