Cargando…
Feature Selection and Predictors of Falls with Foot Force Sensors Using KNN-Based Algorithms
The aging process may lead to the degradation of lower extremity function in the elderly population, which can restrict their daily quality of life and gradually increase the fall risk. We aimed to determine whether objective measures of physical function could predict subsequent falls. Ground react...
Autores principales: | Liang, Shengyun, Ning, Yunkun, Li, Huiqi, Wang, Lei, Mei, Zhanyong, Ma, Yingnan, Zhao, Guoru |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701339/ https://www.ncbi.nlm.nih.gov/pubmed/26610503 http://dx.doi.org/10.3390/s151129393 |
Ejemplares similares
-
Exploration and Implementation of a Pre-Impact Fall Recognition Method Based on an Inertial Body Sensor Network
por: Zhao, Guoru, et al.
Publicado: (2012) -
Multimedia Image Data Analysis Based on KNN Algorithm
por: Li, Runya, et al.
Publicado: (2022) -
An explorative investigation of functional differences in plantar center of pressure of four foot types using sample entropy method
por: Mei, Zhanyong, et al.
Publicado: (2016) -
An Enhanced Intrusion Detection Model Based on Improved kNN in WSNs
por: Liu, Gaoyuan, et al.
Publicado: (2022) -
BS-KNN: An Effective Algorithm for Predicting Protein Subchloroplast Localization
por: Hu, Jing, et al.
Publicado: (2012)