Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning
Our results suggest that gait analysis can be a useful tool for detecting cognitive impairment in patients with cerebrovascular disease, serving as a suitable alternative or complement to MoCA in the screening for cognitive impairment.
Authors
- Miguel Velhote Correia (ORCID: https://orcid.org/0000-0001-6065-9358)
- Inês Sousa (ORCID: https://orcid.org/0000-0002-8488-256X)
- Vânia Guimar�ães (ORCID: https://orcid.org/0000-0001-8133-0789)
Institutions
- Universidade do Porto (PT)
- Fraunhofer Portugal Research (PT)
- INESC TEC (PT)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1186/s12911-025-02979-9
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.47