Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/131819
Full metadata record
DC FieldValueLanguage
dc.creatorAnkit Vijayvargiya
dc.creatorChandra Prakash
dc.creatorRajesh Kumar
dc.creatorSanjeev Bansal
dc.creatorJoão Manuel R. S. Tavares
dc.date.accessioned2021-01-26T00:12:46Z-
dc.date.available2021-01-26T00:12:46Z-
dc.date.issued2021-04
dc.identifier.issn1746-8094
dc.identifier.othersigarra:439442
dc.identifier.urihttps://hdl.handle.net/10216/131819-
dc.language.isopor
dc.rightsopenAccess
dc.subjectCiências Tecnológicas, Ciências médicas e da saúde
dc.subjectTechnological sciences, Medical and Health sciences
dc.titleHuman knee abnormality detection from imbalanced sEMG data
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1016/j.bspc.2021.102406
dc.subject.fosCiências médicas e da saúde
dc.subject.fosMedical and Health sciences
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

Files in This Item:
File Description SizeFormat 
439442.1.pdfPaper Draft14.92 MBAdobe PDFThumbnail
View/Open
439442.png1st Page231.41 kBimage/pngThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.