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Assessment of Parkinson’s disease medication state through automatic speech analysis

2020-10-26Conference object Open access
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dc.contributor.authorPompili, Anna
dc.contributor.authorSolera-Urena, Rubén
dc.contributor.authorAbad, Alberto
dc.contributor.authorCardoso, Rita
dc.contributor.authorGuimarães, Isabel
dc.contributor.authorFabbri, Margherita
dc.contributor.authorMartins, Isabel
dc.contributor.authorFerreira, Joaquim
dc.date.accessioned2022-03-30T16:30:06Z
dc.date.available2022-03-30T16:30:06Z
dc.date.issued2020-10-26
dc.description.abstractParkinson’s disease (PD) is a progressive degenerative disorder of the central nervous system characterized by motor and nonmotor symptoms. As the disease progresses, patients alternate periods in which motor symptoms are mitigated due to medication intake (ON state) and periods with motor complications (OFF state). The time that patients spend in the OFF condition is currently the main parameter employed to assess pharmacological interventions and to evaluate the efficacy of different active principles. In this work, we present a system that combines automatic speech processing and deep learning techniques to classify the medication state of PD patients by leveraging personal speech-based bio-markers. We devise a speakerdependent approach and investigate the relevance of different acoustic-prosodic feature sets. Results show an accuracy of 90.54% in a test task with mixed speech and an accuracy of 95.27% in a semi-spontaneous speech task. Overall, the experimental assessment shows the potentials of this approach towards the development of reliable, remote daily monitoring and scheduling of medication intake of PD patients.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttp://dx.doi.org/10.21437/Interspeech.2020-2726pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/39946
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectParkinson’s disease speechpt_PT
dc.subjectON-OFF medication statept_PT
dc.subjectAutomatic assessmentpt_PT
dc.titleAssessment of Parkinson’s disease medication state through automatic speech analysispt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceXangaipt_PT
oaire.citation.endPage4595pt_PT
oaire.citation.issue2020pt_PT
oaire.citation.startPage4591pt_PT
oaire.citation.titleINTERSPEECH 2020pt_PT
person.familyNamecardoso
person.familyNameGuimarães
person.givenNamerita
person.givenNameIsabel
person.identifier548796
person.identifier.ciencia-idF014-BFD6-49C2
person.identifier.orcid0000-0002-4478-990X
person.identifier.orcid0000-0001-8524-8731
person.identifier.scopus-author-id24586862700
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication0d976fcb-d1b8-478a-8163-250052500b7f
relation.isAuthorOfPublicationdc9a77a2-eecf-4d30-88fa-4200275eccf5
relation.isAuthorOfPublication.latestForDiscovery0d976fcb-d1b8-478a-8163-250052500b7f

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