Název: New Methodology Of Parkinsonic Dysgraphia Analysis By Online Handwriting Using Fractional Derivatives
Autoři: Mucha, Ján
Typ dokumentu: Příspěvky z konference
Jazyk: eng
Nakladatel: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstrakt: 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, 37 PD patients and 38 healthy controls were enrolled. In comparison to results reported in other works, we proved that FDE in online handwriting analysis brings promising improvements. The best result of multivariate analysis was achieved with 83:89% classification accuracy in combination with 5 features using only one handwriting task (overlapped circles). This study reveals an impact of fractional derivatives based features in analysis of Parkinsonic dysgraphia.
Klíčová slova: Binary classification; fractal calculus; fractional derivative; online handwriting; overlapped circles; Parkinson’s disease
Zdrojový dokument: Proceedings of the 24th Conference STUDENT EEICT 2018, ISBN 978-80-214-5614-3

Instituce: Vysoké učení technické v Brně (web)
Informace o dostupnosti dokumentu: Plný text je dostupný v Digitální knihovně VUT.
Původní záznam: http://hdl.handle.net/11012/138264

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-393450


Záznam je zařazen do těchto sbírek:
Školství > Veřejné vysoké školy > Vysoké učení technické v Brně
Konferenční materiály > Příspěvky z konference