Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F18%3A00069061" target="_blank" >RIV/00159816:_____/18:00069061 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/18:PU128391 RIV/00216224:14740/18:00108297
Result on the web
<a href="https://ieeexplore.ieee.org/document/8441293" target="_blank" >https://ieeexplore.ieee.org/document/8441293</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2018.8441293" target="_blank" >10.1109/TSP.2018.8441293</a>
Alternative languages
Result language
angličtina
Original language name
Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis
Original language description
Parkinson's disease (PD) is the second most frequent neurodegenerative disorder. One typical hallmark of PD is disruption in execution of practised skills such as handwriting. This paper introduces a new methodology of kinematic features calculation based on fractional derivatives applied on PD handwriting. Discrimination power of basic kinematic features (velocity, acceleration, jerk) was evaluated by classification analysis (using support vector machines and random forests). For this purpose, 30 PD patients and 36 healthy controls were enrolled. In comparison with results reported in other works, the newly designed features based on fractional derivatives increased classification accuracy by 8 % in univariate analysis and by 10 % when employing the multivariate one. This study reveals an impact of fractional derivatives based features in analysis of Parkinsonic dysgraphia.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applied Sciences -Spec. issue
ISBN
978-1-5386-4695-3
ISSN
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e-ISSN
neuvedeno
Number of pages
4
Pages from-to
214-217
Publisher name
IEEE
Place of publication
Athens, Greece
Event location
Athens, Greece
Event date
Jul 4, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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