{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362825893940815872.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1109/tnsre.2012.2229296"}},{"identifier":{"@type":"URI","@value":"http://xplorestaging.ieee.org/ielx5/7333/6403583/06362235.pdf?arnumber=6362235"}}],"dc:title":[{"@value":"Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382825893940815876","@type":"Researcher","foaf:name":[{"@value":"Cheolsoo Park"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825893940815873","@type":"Researcher","foaf:name":[{"@value":"David Looney"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825893940815875","@type":"Researcher","foaf:name":[{"@value":"Naveed ur Rehman"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825893940815874","@type":"Researcher","foaf:name":[{"@value":"Alireza Ahrabian"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825893940815872","@type":"Researcher","foaf:name":[{"@value":"Danilo P. Mandic"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"15344320"},{"@type":"EISSN","@value":"15580210"}],"prism:publicationName":[{"@value":"IEEE Transactions on Neural Systems and Rehabilitation Engineering"}],"dc:publisher":[{"@value":"Institute of Electrical and Electronics Engineers (IEEE)"}],"prism:publicationDate":"2013-01","prism:volume":"21","prism:number":"1","prism:startingPage":"10","prism:endingPage":"22"},"reviewed":"false","dc:rights":["https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html"],"url":[{"@id":"http://xplorestaging.ieee.org/ielx5/7333/6403583/06362235.pdf?arnumber=6362235"}],"createdAt":"2012-11-27","modifiedAt":"2021-11-29","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360004234437279744","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Multiband tangent space mapping and feature selection for classification of EEG during motor imagery"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848661089609344","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"AGGREGATION OF SPARSE LINEAR DISCRIMINANT ANALYSES FOR EVENT-RELATED POTENTIAL CLASSIFICATION IN BRAIN-COMPUTER INTERFACE"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001206310361728","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"An Improved Multivariate Wavelet Denoising Method Using Subspace Projection"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1109/tnsre.2012.2229296"},{"@type":"CROSSREF","@value":"10.1088/1741-2552/aac313_references_DOI_BdsF1BL2ZFKXzJl4pDf5ON1tHEz"},{"@type":"CROSSREF","@value":"10.1142/s0129065714500038_references_DOI_BdsF1BL2ZFKXzJl4pDf5ON1tHEz"},{"@type":"CROSSREF","@value":"10.1587/transfun.e100.a.769_references_DOI_BdsF1BL2ZFKXzJl4pDf5ON1tHEz"}]}