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DROTÁR, P. FAÚNDEZ ZANUY, M. MASAROVÁ, L. MEKYSKA, J. REKTOROVÁ, I. SMÉKAL, Z.
Original Title
Prediction potential of different handwriting tasks for diagnosis of Parkinson's
Type
conference paper
Language
English
Original Abstract
One of the most frequent clinical hallmarks of Parkinson's disease (PD) is micrographia. Micrographia in PD is characterized by the decreased letter size and by changes in the kinematic aspects including increased movement time, decreased velocities and accelerations, and increased number of changes in velocity and acceleration. Based on the literature survey we proposed template to acquire handwriting during different tasks. In addition to well established tasks for PD diagnosis such as Archimedean spiral, we designed new tasks to acquire all aspects of micrographia. The database consists of eight different handwriting samples from seventy-five subjects. The presented results shows almost 80% overall classification accuracy.
Keywords
Keywords-handwriting, Parkinson's disease, decision support systems, micrographia, SVM.
Authors
DROTÁR, P.; FAÚNDEZ ZANUY, M.; MASAROVÁ, L.; MEKYSKA, J.; REKTOROVÁ, I.; SMÉKAL, Z.
RIV year
2013
Released
21. 11. 2013
Publisher
IEEE
ISBN
978-1-4799-2372-4
Book
E-Health and Bioengineering Conference (EHB), 2013
Pages from
1
Pages to
4
Pages count
BibTex
@inproceedings{BUT108796, author="Peter {Drotár} and Marcos {Faúndez Zanuy} and Lucia {Masarová} and Jiří {Mekyska} and Irena {Rektorová} and Zdeněk {Smékal}", title="Prediction potential of different handwriting tasks for diagnosis of Parkinson's", booktitle="E-Health and Bioengineering Conference (EHB), 2013", year="2013", pages="1--4", publisher="IEEE", doi="10.1109/EHB.2013.6707378", isbn="978-1-4799-2372-4" }