Detail publikace

Prediction potential of different handwriting tasks for diagnosis of Parkinson's

DROTÁR, P. FAÚNDEZ ZANUY, M. MASAROVÁ, L. MEKYSKA, J. REKTOROVÁ, I. SMÉKAL, Z.

Originální název

Prediction potential of different handwriting tasks for diagnosis of Parkinson's

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Keywords-handwriting, Parkinson's disease, decision support systems, micrographia, SVM.

Autoři

DROTÁR, P.; FAÚNDEZ ZANUY, M.; MASAROVÁ, L.; MEKYSKA, J.; REKTOROVÁ, I.; SMÉKAL, Z.

Rok RIV

2013

Vydáno

21. 11. 2013

Nakladatel

IEEE

ISBN

978-1-4799-2372-4

Kniha

E-Health and Bioengineering Conference (EHB), 2013

Strany od

1

Strany do

4

Strany počet

4

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"
}