Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/74238
Share/Export:
logo share SHARE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
DC FieldValueLanguage
dc.contributor.authorGallego, Juan Álvaro-
dc.contributor.authorRocón, Eduardo-
dc.contributor.authorKoutsou, Aikaterini-
dc.contributor.authorPons Rovira, José Luis-
dc.date.issued2011-
dc.identifier.citationProceedings of the 5th International IEEE EMBS Conference on Neural Engineeringes_ES
dc.identifier.urihttp://hdl.handle.net/10261/74238-
dc.description.abstractThis paper presents analysis of kinematic data of tremor patients while performing different tasks with Ensemble Empirical Mode Decomposition (EEMD), a novel noise–assisted data analysis method. EEMD automatically separates raw kinematic data into three components: 1) noise from various sources, 2) tremulous movement, and 3) voluntary movement. Comparison of this technique with other decomposition meth- ods such as recursive forth and back filters or Empirical Mode Decomposition (EMD) shows a better performance; EEMD separation of tremor diminishes EMD error in a 45.2 % (mean error 0.041 ± 0.036 rad/s). Moreover, postprocessing of EEMD separated tremor allows the calculation of the Hilbert spectrum, a high resolution time–energy–frequency distribution that improves analysis of tremorses_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/224051es_ES
dc.rightsopenAccesses_ES
dc.subjectHilbert-Huang transformes_ES
dc.subjectEmpirical mode decompositiones_ES
dc.subjectTremores_ES
dc.subjectEnsemble empirical mode decompositiones_ES
dc.subjectParkinson's diseasees_ES
dc.subjectEssential tremores_ES
dc.subjectMovement analisysises_ES
dc.subjectBlind source separationes_ES
dc.titleAnalysis of kinematic data in pathological tremor with the Hilbert–Huang transformes_ES
dc.typecomunicación de congresoes_ES
dc.identifier.doi10.1109/NER.2011.5910493-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1109/NER.2011.5910493es_ES
dc.identifier.e-issn978-1-4244-4141-9-
item.fulltextWith Fulltext-
item.openairetypecomunicación de congreso-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
Appears in Collections:(CAR) Comunicaciones congresos
Files in This Item:
File Description SizeFormat
gallego_NER2011_final.pdf918,56 kBAdobe PDFThumbnail
View/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Dimensions


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.