Digital Biomarkers for Assessing Respiratory Disorders in Parkinson’s Disease

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but.event.date25.04.2023cs
but.event.titleSTUDENT EEICT 2023cs
dc.contributor.authorKováč, Daniel
dc.contributor.authorCvetler, Dominik
dc.date.accessioned2023-07-17T05:57:35Z
dc.date.available2023-07-17T05:57:35Z
dc.date.issued2023cs
dc.description.abstractRespiratory disorders are a significant part of hypokineticdysarthria (HD) that affects patients with Parkinson’sdisease (PD). Still, their potential role in the objective assessmentof HD has not yet been fully explored, which is the primary goalof this study. Several respiratory features were designed andextracted from acoustic signals recorded during text reading.Based on these features, the XGBoost model was able to predictclinical test scores of phonorespiration with an estimated errorrate of 12.54%. Statistical analysis revealed that measuring respirationrate and quantifying signal fluctuations during inspirationhave great potential in the objective assessment of respiratorydisorders in patients with PD.en
dc.formattextcs
dc.format.extent232-236cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. s. 232-236. ISBN 978-80-214-6154-3cs
dc.identifier.doi10.13164/eeict.2023.232
dc.identifier.isbn978-80-214-6154-3
dc.identifier.issn2788-1334
dc.identifier.urihttp://hdl.handle.net/11012/210697
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 29st Conference STUDENT EEICT 2023: Selected papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectrespirationen
dc.subjectdigital biomarkersen
dc.subjecthypokineticdysarthriaen
dc.subjectParkinson’s diseaseen
dc.subjectstatisticsen
dc.subjectmachine learningen
dc.titleDigital Biomarkers for Assessing Respiratory Disorders in Parkinson’s Diseaseen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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