2022
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
MUCHA, Jan, Zoltan GALAZ, Jiri MEKYSKA, Marcos FAUNDEZ-ZANUY, Vojtech ZVONCAK et. al.Základní údaje
Originální název
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis
Autoři
MUCHA, Jan (203 Česká republika, garant), Zoltan GALAZ (203 Česká republika), Jiri MEKYSKA (203 Česká republika), Marcos FAUNDEZ-ZANUY (203 Česká republika), Vojtech ZVONCAK (203 Česká republika), Zdenek SMEKAL (203 Česká republika), Luboš BRABENEC (203 Česká republika, domácí) a Irena REKTOROVÁ (203 Česká republika, domácí)
Vydání
CHAM, Intertwining Graphonomics with Human Movements, od s. 308-321, 14 s. 2022
Nakladatel
SPRINGER INTERNATIONAL PUBLISHING AG
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
30210 Clinical neurology
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Impakt faktor
Impact factor: 0.402 v roce 2005
Kód RIV
RIV/00216224:14110/22:00132034
Organizační jednotka
Lékařská fakulta
ISBN
978-3-031-19744-4
ISSN
UT WoS
000913319000023
Klíčová slova anglicky
Fractional order derivatives; Fractional calculus; Parkinson's disease; Online handwriting; Handwriting difficulties
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 6. 8. 2024 07:29, Mgr. Tereza Miškechová
Anotace
V originále
Parkinson's disease (PD) is a common neurodegenerative disorder with a prevalence rate estimated to 2.0% for people aged over 65 years. Cardinal motor symptoms of PD such as rigidity and bradykinesia affect the muscles involved in the handwriting process resulting in handwriting abnormalities called PD dysgraphia. Nowadays, online handwritten signal (signal with temporal information) acquired by the digitizing tablets is the most advanced approach of graphomotor difficulties analysis. Although the basic kinematic features were proved to effectively quantify the symptoms of PD dysgraphia, a recent research identified that the theory of fractional calculus can be used to improve the graphomotor difficulties analysis. Therefore, in this study, we follow up on our previous research, and we aim to explore the utilization of various approaches of fractional order derivative (FD) in the analysis of PD dysgraphia. For this purpose, we used the repetitive loops task from the Parkinson's disease handwriting database (PaHaW). Handwritten signals were parametrized by the kinematic features employing three FD approximations: Grunwald-Letnikov's, Riemann-Liouville's, and Caputo's. Results of the correlation analysis revealed a significant relationship between the clinical state and the handwriting features based on the velocity. The extracted features by Caputo's FD approximation outperformed the rest of the analyzed FD approaches. This was also confirmed by the results of the classification analysis, where the best model trained by Caputo's handwriting features resulted in a balanced accuracy of 79.73% with a sensitivity of 83.78% and a specificity of 75.68%.
Návaznosti
LX22NPO5107, projekt VaV |
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NU20-04-00294, projekt VaV |
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