Study on the Quantitative Assessment Method of Fall Risk Based on Multidimensional Gait Features
Author:
Affiliation:
1. Dalian University,College of Information Engineering,Dalian,China
2. Affiliated Zhongshan Hospital of Dalian University,Neurology Department,Dalian,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603447/10603450/10603640.pdf?arnumber=10603640
Reference10 articles.
1. Classification of foot drop gait characteristic due to lumbar radiculopathy using machine learning algorithms
2. A portable fall detection and alerting system based on k-NN algorithm and remote medicine
3. Validation of the JiBuEn® System in Measuring Gait Parameters
4. Gait asymmetry and variability in older adults during long-distance walking: Implications for gait instability
5. Gait disorders in the elderly and dual task gait analysis: a new approach for identifying motor phenotypes
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