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  • Parkinsons disease (PD) is a neurodegenerative disorder which impairs motor skills, speech, and other functions such as behavior, mood, and cognitive processes. One of the most typical clinical hallmarks of PD is handwriting deterioration, usually the first manifestation of PD. The aim of this study is twofold: (a) to find a subset of handwriting features suitable for identifying subjects with PD and (b) to build a predictive model to efficiently diagnose PD. We collected handwriting samples from 37 medicated PD patients and 38 age- and sex- matched controls. The handwriting samples were collected during seven tasks such as writing a syllable, word, or sentence. Every sample was used to extract the handwriting measures. In addition to conventional kinematic and spatio-temporal handwriting measures, we also computed novel handwriting measures based on entropy, signal energy, and empirical mode decomposition of the handwriting signals. The selected features were fed to the support vector machine classif
  • Parkinsons disease (PD) is a neurodegenerative disorder which impairs motor skills, speech, and other functions such as behavior, mood, and cognitive processes. One of the most typical clinical hallmarks of PD is handwriting deterioration, usually the first manifestation of PD. The aim of this study is twofold: (a) to find a subset of handwriting features suitable for identifying subjects with PD and (b) to build a predictive model to efficiently diagnose PD. We collected handwriting samples from 37 medicated PD patients and 38 age- and sex- matched controls. The handwriting samples were collected during seven tasks such as writing a syllable, word, or sentence. Every sample was used to extract the handwriting measures. In addition to conventional kinematic and spatio-temporal handwriting measures, we also computed novel handwriting measures based on entropy, signal energy, and empirical mode decomposition of the handwriting signals. The selected features were fed to the support vector machine classif (en)
Title
  • Decision support framework for Parkinsons disease based on novel handwriting markers
  • Decision support framework for Parkinsons disease based on novel handwriting markers (en)
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  • Decision support framework for Parkinsons disease based on novel handwriting markers
  • Decision support framework for Parkinsons disease based on novel handwriting markers (en)
skos:notation
  • RIV/00216305:26220/14:PU111008!RIV15-MV0-26220___
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  • P(ED1.1.00/02.0068), P(ED2.1.00/03.0072), P(GAP102/12/1104), P(LD14091), P(NT13499), P(VG20102014033), S
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  • 99
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  • 9944
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  • RIV/00216305:26220/14:PU111008
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  • Parkinsons disease, handwriting, tablet, decision support system, biomarker (en)
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  • US - Spojené státy americké
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  • [E648AABA000E]
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  • IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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  • 1
http://linked.open...iv/tvurceVysledku
  • Rektorová, Irena
  • Smékal, Zdeněk
  • Faúndez Zanuy, Marcos
  • Mekyska, Jiří
  • Drotár, Peter
  • Masarová, Lucia
issn
  • 1534-4320
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/TNSRE.2014.2359997
http://localhost/t...ganizacniJednotka
  • 26220
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