Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128792" target="_blank" >RIV/00216305:26220/18:PU128792 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICUMT.2018.8631265" target="_blank" >http://dx.doi.org/10.1109/ICUMT.2018.8631265</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUMT.2018.8631265" target="_blank" >10.1109/ICUMT.2018.8631265</a>

Result language
angličtina
Original language name
Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting
Original language description
Parkinson's disease (PD) is one of the most frequent neurodegenerative disorder with progressive decline in several motor and non-motor skills. Due to time-consuming and partially subjective conventional PD diagnosis, several more effective approaches based on signal processing and machine learning, e.,g. online handwriting analysis, have been proposed. This paper introduces a~new methodology of PD dysgraphia analysis based on fractional derivatives applied in PD handwriting quantification. The proposed methodology was evaluated on a~database that consists 33~PD patients and 36~healthy controls who performed several handwriting tasks. Employing random forests classifier in combination with 5 kinematic features based on fractional-order derivatives we reached 90,% classification accuracy, 89,% sensitivity, and 91,% specificity. In comparison with the results of other related works dealing with the same database, the proposed approach brings improvements in PD dysgraphia diagnosis and confirms the impact of fractional derivatives in kinematic analysis.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
ISBN
978-1-5386-9361-2
ISSN
2157-023X
e-ISSN
—
Number of pages
6
Pages from-to
77-82
Publisher name
Neuveden
Place of publication
Moskva, Rusko
Event location
Moskva
Event date
Nov 5, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000459238500067

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