Feature Selection and Predictors of Falls with Foot Force Sensors Using KNN-Based Algorithms
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/15/11/29393/pdf
Reference37 articles.
1. Fallshttp://www.who.int/mediacentre/factsheets/fs344/en /index.html
2. Injury Prevention
3. Fall Risk Assessment Measures: An Analytic Review
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5. Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test;Shumway-Cook;Phys. Ther.,2000
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