Multidimensional abnormal gait analysis and biomarker identification for patients with spinocerebellar ataxia type 3 using an Azure Kinect-based motion capture system.
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| Title: | Multidimensional abnormal gait analysis and biomarker identification for patients with spinocerebellar ataxia type 3 using an Azure Kinect-based motion capture system. |
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| Authors: | Cui, Mao-Lin1,2 (AUTHOR), Pan, Li-Ying1,3 (AUTHOR), Lin, Wei2 (AUTHOR), Huang, Zhuo-Ying2 (AUTHOR), Ye, Bei-Ning2 (AUTHOR), Li, Chu-Yi2 (AUTHOR), Ye, Ying-Xin2 (AUTHOR), Lin, Han2 (AUTHOR), Lin, Ming-Ting2,4,5 (AUTHOR), Wang, Ning1,2,4,5 (AUTHOR) ningwang@fjmu.edu.cn, Gan, Shi-Rui1,2,4,5 (AUTHOR) ganshirui@fjmu.edu.cn, Ma, Yun-Ru1,6 (AUTHOR) y.ma@fjmu.edu.cn |
| Source: | Gait & Posture. Jan2026, Vol. 123, pN.PAG-N.PAG. |
| Database: | SPORTDiscus with Full Text |
| ISSN: | 09666362 |
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| DOI: | 10.1016/j.gaitpost.2025.110019 |
