A novel multi-level 3D pose estimation framework for gait detection of Parkinson’s disease using monocular video

A novel multi-level 3D pose estimation framework for gait detection of Parkinson’s disease using monocular video

IntroductionParkinson's disease (PD) is characterized by muscle stiffness, bradykinesia, and balance disorders, significantly impairing the quality of life for affected patients. While motion pose estimation and gait analysis can aid in early diagnosis and timely intervention, clinical practice...

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Bibliographic Details
Main Authors: Rong He, Zijing You, Yongqiang Zhou, Guilan Chen, Yanan Diao, Xiantai Jiang, Yunkun Ning, Guoru Zhao, Ying Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Parkinson’s disease (PD)
3D pose estimation
monocular video
graph convolutional network (GCN)
gait detection
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1520831/full
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https://www.frontiersin.org/articles/10.3389/fbioe.2024.1520831/full

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