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Feature selection for elderly faller classification based on wearable sensors
BACKGROUND: Wearable sensors can be used to derive numerous gait pattern features for elderly fall risk and faller classification; however, an appropriate feature set is required to avoid high computational costs and the inclusion of irrelevant features. The objectives of this study were to identify...
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| Publicat a: | J Neuroeng Rehabil |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5450084/ https://ncbi.nlm.nih.gov/pubmed/28558724 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12984-017-0255-9 |
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