Healthy Knee Kinematic Phenotypes Identification Based on a Clustering Data Analysis

Healthy Knee Kinematic Phenotypes Identification Based on a Clustering Data Analysis

The purpose of this study is to identify healthy phenotypes in knee kinematics based on clustering data analysis. Our analysis uses the 3D knee kinematics curves, namely, flexion/extension, abduction/adduction, and tibial internal/external rotation, measured via a KneeKG™ system during a gait task....

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Bibliographic Details
Main Authors: Neila Mezghani, Rayan Soltana, Youssef Ouakrim, Alix Cagnin, Alexandre Fuentes, Nicola Hagemeister, Pascal-André Vendittoli
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
kinematic data phenotype
gait analysis
healthy subjects
clustering analysis
Online Access:https://www.mdpi.com/2076-3417/11/24/12054

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https://www.mdpi.com/2076-3417/11/24/12054

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