Preliminary Acoustic Analysis of Noise Components in Patients with Parkinson's Disease

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but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.contributor.authorGaláž, Z.
dc.date.accessioned2015-08-25T08:43:06Z
dc.date.available2015-08-25T08:43:06Z
dc.date.issued2015cs
dc.description.abstractThis paper deals with acoustic analysis of noise components extracted from speech signals of patients with Parkinson’s disease (PD) who recited a poem. Experimental dataset consisted of 97 PD patients with different disease progress and 55 healthy controls (HC). The analysis is based on parametrization of 2 rhymes recitation using dysphonia features. We obtained classification accuracy 76.66% for female speakers, 69.65% for male speakers and 69.24% for the mixture of both genders.en
dc.formattextcs
dc.format.extent476-480cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 476-480. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/43046
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 21st Conference STUDENT EEICT 2015en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectParkinson’s diseaseen
dc.subjectEmpirical Mode Decompositionen
dc.subjecthypokinetic dysarthriaen
dc.subjectdysphoniaen
dc.titlePreliminary Acoustic Analysis of Noise Components in Patients with Parkinson's Diseaseen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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