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.
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, vol. 19, pp. 831-840, Springer, 2024.
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}, volume={19}, pages={831--840}, numpages={10}, 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 VL - 19 SP - 831 EP - 840 DO - 10.1007/s11548-023-03052-4 SN - 1861-6429 PB - Springer ER -