Detail publikačního výsledku

Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease

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

Originální název

Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease

Anglický název

Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In this paper, we evaluate the contribution of different handwriting modalities to the diagnosis of Parkinson's disease. We analyse on-surface movement, in-air movement and pressure exerted on the tablet surface. Especially in-air movement and pressure-based features have been rarely taken into account in previous studies. We show that pressure and in-air movement also possess information that is relevant for the diagnosis of Parkinson's Disease (PD) from handwriting. In addition to the conventional kinematic and spatio-temporal features, we present a group of the novel features based on entropy and empirical mode decomposition of the handwriting signal. The presented results indicate that handwriting can be used as biomarker for PD providing classification performance around 89% area under the ROC curve (AUC) for PD classification.

Anglický abstrakt

In this paper, we evaluate the contribution of different handwriting modalities to the diagnosis of Parkinson's disease. We analyse on-surface movement, in-air movement and pressure exerted on the tablet surface. Especially in-air movement and pressure-based features have been rarely taken into account in previous studies. We show that pressure and in-air movement also possess information that is relevant for the diagnosis of Parkinson's Disease (PD) from handwriting. In addition to the conventional kinematic and spatio-temporal features, we present a group of the novel features based on entropy and empirical mode decomposition of the handwriting signal. The presented results indicate that handwriting can be used as biomarker for PD providing classification performance around 89% area under the ROC curve (AUC) for PD classification.

Klíčová slova

Acceleration, entropy, feature extraction, kinematics, Parkinson's disease, writing

Klíčová slova v angličtině

Acceleration, entropy, feature extraction, kinematics, Parkinson's disease, writing

Autoři

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

Rok RIV

2016

Vydáno

07.05.2015

ISBN

978-1-4799-6476-5

Kniha

Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on

ISSN

NEUVEDENO

Strany od

344

Strany do

348

Strany počet

5

BibTex

@inproceedings{BUT115289,
  author="Peter {Drotár} and Jiří {Mekyska} and Zdeněk {Smékal} and Irena {Rektorová} and Lucia {Masarová} and Marcos {Faúndez Zanuy}",
  title="Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease",
  booktitle="Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on",
  year="2015",
  pages="344--348",
  doi="10.1109/MeMeA.2015.7145225",
  isbn="978-1-4799-6476-5"
}