Gait spatio-temporal characteristics during obstacle crossing as predictors of fall risk in stroke patients
Abnormalities in gait spatio-temporal parameters during obstacle crossing in stroke patients can contribute to an increased risk of falls. The fall risk prediction model developed in this study demonstrated excellent predictive performance, indicating its potential utility in clinical settings.
Authors
- Zihao Zhu (ORCID: https://orcid.org/0000-0001-7793-3026)
- Xianglin Wan (ORCID: https://orcid.org/0000-0002-2140-3656)
- Feng Xu (ORCID: https://orcid.org/0000-0001-5270-6353)
- Qiujie Li (ORCID: https://orcid.org/0000-0002-2690-6922)
Institutions
- Zhumadian Central Hospital (CN)
- General Administration of Sport of China (CN)
- Beijing Sport University (CN)
Publication Details
- Journal
- BMC Neurology
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1186/s12883-025-04131-6
- Citations
- 2
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 9.52
Funders
- Central University Basic Research Fund of China
- Fundamental Research Funds for the Central Universities