An Automatic Approach of Video-Based Landmark Detection and Movement Analysis for Assessing Symptoms of Bradykinesia in Parkinson’s Disease
Author:
Funder
National Science and Technology Council
Kaohsiung Municipal Ta-Tung Hospital
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40846-024-00876-6.pdf
Reference26 articles.
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2. Goetz, C. G., Tilley, B. C., Shaftman, S. R., Stebbins, G. T., Fahn, S., Martinez-Martin, P., Poewe, W., Sampaio, C., Stern, M. B., Dodel, R., Dubois, B., Holloway, R., Jankovic, J., Kulisevsky, J., Lang, A. E., Lees, A., Leurgans, S., LeWitt, P. A., Nyenhuis, D., … Movement Disorder Society UPDRS Revision Task Force. (2008). Movement disorder society-sponsored revision of the unified Parkinson’s disease rating scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Movement disorders: Official Journal of the Movement Disorder Society, 23(15), 2129–2170. https://doi.org/10.1002/mds.22340
3. Shin, J. H., Ong, J. N., Kim, R., Park, S. M., Choi, J., Kim, H. J., & Jeon, B. (2020). Objective measurement of limb bradykinesia using a marker-less tracking algorithm with 2D-video in PD patients. Parkinsonism & Related disorders, 81, 129–135. https://doi.org/10.1016/j.parkreldis.2020.09.007
4. Liu, Y., Chen, J., Hu, C., Ma, Y., Ge, D., Miao, S., Xue, Y., & Li, L. (2019). Vision-based method for automatic quantification of Parkinsonian bradykinesia. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(10), 1952–1961. https://doi.org/10.1109/TNSRE.2019.2939596
5. Li, M. H., Mestre, T. A., Fox, S. H., & Taati, B. (2018). Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation. Journal of Neuroengineering and Rehabilitation, 15(1), 97. https://doi.org/10.1186/s12984-018-0446-z
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