Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning

Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning

Abstract A dual-stage model for classifying Parkinson’s disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson’s disease is the primary neurodegenerative disorder that results in a gradual reduction in m...

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Bibliographic Details
Main Authors: Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Machine learning
Parkinson’s disease
Random Forest tree
Recursive feature elimination
Synthetic minority over-sampling technique
Online Access:https://doi.org/10.1038/s41598-024-83357-9
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https://doi.org/10.1038/s41598-024-83357-9

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