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dc.contributor.authorMucha, Ján
dc.contributor.authorMekyska, Jiri
dc.contributor.authorGalaz, Zoltan
dc.contributor.authorFaundez-Zanuy, Marcos
dc.contributor.authorLópez-de-Ipiña, Karmele
dc.contributor.authorZvoncak, Vojtech
dc.contributor.authorKiska, Tomáš
dc.contributor.authorSmekal, Zdenek
dc.contributor.authorBrabenec, Lubos
dc.contributor.authorRektorova, Irena
dc.date.accessioned2023-12-01T11:52:04Z
dc.date.available2023-12-01T11:52:04Z
dc.date.issued2018-12-11
dc.identifier.citationMucha J, Mekyska J, Galaz Z, Faundez-Zanuy M, López-de-Ipina K, Zvoncak V, Kiska T, Smekal Z, Brabenec L, Rektorova I. Identification and monitoring of Parkinson’s disease dysgraphia based on fractional-order derivatives of online handwriting. Appl Sci. 2018;8(12):2566. DOI: 10.3390/app8122566ca
dc.identifier.issn2076-3417ca
dc.identifier.urihttp://hdl.handle.net/20.500.12367/2522
dc.description.abstractParkinson’s disease dysgraphia affects the majority of Parkinson’s disease (PD) patients and is the result of handwriting abnormalities mainly caused by motor dysfunctions. Several effective approaches to quantitative PD dysgraphia analysis, such as online handwriting processing, have been utilized. In this study, we aim to deeply explore the impact of advanced online handwriting parameterization based on fractional-order derivatives (FD) on the PD dysgraphia diagnosis and its monitoring. For this purpose, we used 33 PD patients and 36 healthy controls from the PaHaW (PD handwriting database). Partial correlation analysis (Spearman’s and Pearson’s) was performed to investigate the relationship between the newly designed features and patients’ clinical data. Next, the discrimination power of the FD features was evaluated by a binary classification analysis. [...]ca
dc.format.extent18 p.ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofApplied Sciences. 2018;8(12):2566ca
dc.rights© 2018 by Mucha J, et al. Licensee MDPI, Basel, Switzerland.ca
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherParkinson’s disease dysgraphiaca
dc.subject.otherMicrographiaca
dc.subject.otherOnline handwritingca
dc.subject.otherKinematic analysisca
dc.subject.otherFractional-order derivativeca
dc.subject.otherFractional calculusca
dc.titleIdentification and monitoring of Parkinson’s disease dysgraphia based on fractional-order derivatives of online handwritingca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.identifier.doi10.3390/app8122566ca


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© 2018 by Mucha J, et al. Licensee MDPI, Basel, Switzerland.
Excepto si se señala otra cosa, la licencia del ítem se describe como http://creativecommons.org/licenses/by/4.0/
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