Identification and Monitoring of Parkinson’s Disease Dysgraphia Based on Fractional-Order Derivatives of Online Handwriting

Identification and Monitoring of Parkinson’s Disease Dysgraphia Based on Fractional-Order Derivatives of Online Handwriting

Parkinson’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,...

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Bibliographic Details
Main Authors: Jan Mucha, Jiri Mekyska, Zoltan Galaz, Marcos Faundez-Zanuy, Karmele Lopez-de-Ipina, Vojtech Zvoncak, Tomas Kiska, Zdenek Smekal, Lubos Brabenec, Irena Rektorova
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
Parkinson’s disease dysgraphia
micrographia
online handwriting
kinematic analysis
fractional-order derivative
fractional calculus
Online Access:https://www.mdpi.com/2076-3417/8/12/2566

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https://www.mdpi.com/2076-3417/8/12/2566

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