Enhancing fall risk assessment: instrumenting vision with deep learning during walks
Abstract Background Falls are common in a range of clinical cohorts, where routine risk assessment often comprises subjective visual observation only. Typically, observational assessment involves evaluation of an individual’s gait during scripted walking protocols within a lab to identify deficits t...
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| Autori principali: | , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2024-06-01
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| Serie: | Journal of NeuroEngineering and Rehabilitation |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s12984-024-01400-2 |
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