Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning

Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning

Abstract Parkinson’s disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Early and accurate PD detection is essential for effective management and improving patient outcomes. Many researchers analyzing h...

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Bibliographic Details
Main Authors: Jungpil Shin, Abu Saleh Musa Miah, Koki Hirooka, Md. Al Mehedi Hasan, Md. Maniruzzaman
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Parkinson’s disease
PaHaW dataset
Computer-aided disease recognition
Handwriting
Kinematic features
Dynamic movement
Online Access:https://doi.org/10.1038/s41598-025-12115-2
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https://doi.org/10.1038/s41598-025-12115-2

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