A novel multi-level 3D pose estimation framework for gait detection of Parkinson’s disease using monocular video
This markerless method offers significant advantages in terms of low cost, portability, and ease of use, positioning it as a promising tool for monitoring and screening PD patients in clinical settings.
Authors
- Yunkun Ning
- Guoru Zhao (ORCID: https://orcid.org/0000-0001-9348-9236)
- G. Chen
- Rong He (ORCID: https://orcid.org/0000-0002-3856-8860)
- Yanan Diao (ORCID: https://orcid.org/0000-0002-1975-0165)
- Yongqiang Zhou
- Z. Y. You (ORCID: https://orcid.org/0000-0001-6716-1026)
- Y. Liu (ORCID: https://orcid.org/0000-0002-6534-5910)
- Xiantai Jiang
Institutions
- Chinese Academy of Sciences (CN)
- University of Hong Kong - Shenzhen Hospital (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- University of Chinese Academy of Sciences (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2024-12-23
- DOI
- https://doi.org/10.3389/fbioe.2024.1520831
- Citations
- 9
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- National Natural Science Foundation of China