Publication detail

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

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

English Title

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

Type

conference paper

Language

en

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.

English 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.

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

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",
  annote="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.",
  address="IEEE",
  booktitle="E-Health and Bioengineering Conference (EHB), 2013",
  chapter="108796",
  doi="10.1109/EHB.2013.6707378",
  howpublished="electronic, physical medium",
  institution="IEEE",
  year="2013",
  month="november",
  pages="1--4",
  publisher="IEEE",
  type="conference paper"
}