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dc.contributorCabestany Moncusí, Joan
dc.contributor.authorPoveda Figueroa, Javier Ramiro
dc.date.accessioned2015-10-07T13:47:07Z
dc.date.issued2015-07
dc.identifier.urihttp://hdl.handle.net/2117/77429
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshParkinson's disease
dc.subject.lcshPatient monitoring
dc.subject.otherMalaltia de Parkinson
dc.subject.otherestat ON
dc.subject.otherOFF estat
dc.subject.otherFiltrat de senyal
dc.subject.otherextracció de característiques
dc.subject.otherles característiques de freqüència
dc.subject.othercaracterístiques temporals
dc.subject.otherSupport Vectors Machine
dc.subject.otherespecificitat
dc.subject.othersensibilitat.
dc.subject.otherParkinson's disease
dc.subject.otherON state
dc.subject.otherOFF state
dc.subject.otherSignal Filtering
dc.subject.otherFeature Extraction
dc.subject.otherfrequency features
dc.subject.othertemporal features
dc.subject.otherSupport Vectors Machine
dc.subject.otherSpecificity
dc.subject.otherSensitivity.
dc.titleMonitoring motor states of Parkinson's disease patients during resting periods and posture transitions using inertial systems
dc.typeMaster thesis
dc.subject.lemacParkinson, Malaltia de
dc.subject.lemacMonitoratge de pacients
dc.identifier.slug106090
dc.rights.accessRestricted access - confidentiality agreement
dc.date.lift10000-01-01
dc.date.updated2015-07-21T12:16:24Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2012)


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