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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:J Neuroeng Rehabil
Päätekijät: Howcroft, Jennifer, Kofman, Jonathan, Lemaire, Edward D.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2017
Aiheet:
Linkit: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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