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Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video

Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024

 Impact Factor: 3.0†    

Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
† According to Journal Citation Reports 2022"

Abstract

Purpose: Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73\% and 84\%, and is influenced by the experience of the clinical assessor. Hence, an automatic, effective and interpretable supporting system for PD symptom identification would support clinicians in making more robust PD diagnostic decisions.

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BibTeX

@article{zhang24pose,
 author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Din, Silvia Del and Shum, Hubert P. H.},
 journal={International Journal of Computer Assisted Radiology and Surgery},
 title={Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video},
 year={2024},
 doi={10.1007/s11548-023-03052-4},
 issn={1861-6429},
 publisher={Springer},
}

RIS

TY  - JOUR
AU  - Zhang, Haozheng
AU  - Ho, Edmond S. L.
AU  - Zhang, Francis Xiatian
AU  - Din, Silvia Del
AU  - Shum, Hubert P. H.
T2  - International Journal of Computer Assisted Radiology and Surgery
TI  - Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
PY  - 2024
DO  - 10.1007/s11548-023-03052-4
SN  - 1861-6429
PB  - Springer
ER  - 

Plain Text

Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum, "Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video," International Journal of Computer Assisted Radiology and Surgery, Springer, 2024.

Supporting Grants

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Last updated on 28 April 2024
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