Towards Parkinson’s Disease Detection Through Analysis of Everyday Handwriting

Towards Parkinson’s Disease Detection Through Analysis of Everyday Handwriting

<b>Background:</b> Parkinson’s disease (PD) is the second most prevalent neurodegenerative disorder worldwide. People suffering from PD exhibit motor symptoms that affect the control of upper and lower limb movement. Among daily activities that depend on proper upper limb control is the...

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Main Authors: Jeferson David Gallo-Aristizabal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, Jesús Francisco Vargas-Bonilla, Adolfo M. García, Juan Rafael Orozco-Arroyave
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Diagnostics
Subjects:
Parkinson’s disease
handwriting
convolutional neural networks
dynamic analysis
natural handwriting tasks
Online Access:https://www.mdpi.com/2075-4418/15/3/381
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