Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks

Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks

IntrodcutionParkinson's Disease (PD) is a progressive neurodegenerative disorder that primarily impacts motor function and is prevalent among older adults worldwide. Gait performance (such as speed, stride, step, and so on) has been shown to play a significant role in diagnosis, treatment, and...

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Bibliographic Details
Main Authors: Jiecheng Wu, Ning Su, Xinjin Li, Chao Yao, Jipeng Zhang, Xucheng Zhang, Wei Sun
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Neurology
Subjects:
Parkinson's disease
gait analysis
quantitative assessment
graph convolutional network
skeleton-based data
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1567344/full
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