Wearable fall risk assessment by discriminating recessive weak foot individual
Our results indicate the proposed method enhanced model generalization by allowing the model to account for individual differences in gait patterns and served as an effective tool for quality control, helping to reduce misdiagnosis. The identification of the RWF gait pattern prompted connections to related studies and theories, suggesting avenues for further research. Future investigations are needed to further explore the implications of this gait pattern and verify the method's compatibility.
Authors
- Xiangmin Xu (ORCID: https://orcid.org/0000-0003-4573-5820)
- Jianlin Ou
- Shibin Wu (ORCID: https://orcid.org/0000-0003-2337-6660)
- Qi Fu (ORCID: https://orcid.org/0000-0002-4218-9126)
- Zhen Song (ORCID: https://orcid.org/0000-0002-2035-2420)
- Lin Shu
Institutions
- Hong Kong Polytechnic University (HK)
- Rensselaer Polytechnic Institute (US)
- First Affiliated Hospital of Jinan University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1186/s12984-025-01599-8
- Citations
- 1
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 4.76
Funders
- National Key Research and Development Program of China