Healthy 3D knee kinematics during gait: Differences between women and men, and correlation with x-ray alignment

Clément, Julien; Toliopoulos, Panagiota; Hagemeister, Nicola; Desmeules, François; Fuentes, Alexandre; Vendittoli, Pascal‐André

doi:10.1016/j.gaitpost.2018.06.024

Cited by 24 publications

(22 citation statements)

References 44 publications

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“…Indeed, using a 10-fold validation, the prediction performance reached 84.4% for men and 75.5% for women but it was limited to 71 % when the two sexes were grouped together. This confirms that prediction models should be sex-specific to achieve better results and supports previous studies highlighting the differences in kinematics between men and women [30,31].…”

Section: Discussionsupporting

confidence: 89%

“…To be considered accurate, a classifier must be both highly sensitive and highly specific. The accuracy, sensitivity and specificity were computed according to the following Significant differences in 3D knee kinematics between men and women have been reported in the literature, both in healthy and knee OA subjects [30,31]. Therefore, three different prediction systems were trained: one each for the male and the female population and one for the overall data-set (male and female together) to account for the sex-specific aspects of kinematics.…”

Section: Classification Rate =mentioning

confidence: 99%

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3D Kinematics and Decision Trees to Predict the Impact of a Physical Exercise Program on Knee Osteoarthritis Patients

et al. 2021

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Measuring knee biomechanics provides valuable clinical information for defining patient-specific treatment options, including patient-oriented physical exercise programs. It can be done by a knee kinesiography test measuring the three-dimensional rotation angles (3D kinematics) during walking, thus providing objective knowledge about knee function in dynamic and weight-bearing conditions. The purpose of this study was to assess whether 3D kinematics can be efficiently used to predict the impact of a physical exercise program on the condition of knee osteoarthritis (OA) patients. The prediction was based on 3D knee kinematic data, namely flexion/extension, adduction/abduction and external/internal rotation angles collected during a treadmill walking session at baseline. These measurements are quantifiable information suitable to develop automatic and objective methods for personalized computer-aided treatment systems. The dataset included 221 patients who followed a personalized therapeutic physical exercise program for 6 months and were then assigned to one of two classes, Improved condition (I) and not-Improved condition (nI). A 10% improvement in pain was needed at the 6-month follow-up compared to baseline to be in the improved group. The developed model was able to predict I and nI with 84.4% accuracy for men and 75.5% for women using a decision tree classifier trained with 3D knee kinematic data taken at baseline and a 10-fold validation procedure. The models showed that men with an impaired control of their varus thrust and a higher pain level at baseline, and women with a greater amplitude of internal tibia rotation were more likely to report improvements in their pain level after 6 months of exercises. Results support the effectiveness of decision trees and the relevance of 3D kinematic data to objectively predict knee OA patients’ response to a treatment consisting of a physical exercise program.

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Section: Discussionsupporting

confidence: 89%

Section: Classification Rate =mentioning

confidence: 99%

3D Kinematics and Decision Trees to Predict the Impact of a Physical Exercise Program on Knee Osteoarthritis Patients

et al. 2021

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“…The kinematic findings of the present study are consistent with those reported in similar studies that illustrate joint movement during walking. 26,29,30 However, this study describes joint movement with ranges of normality that are narrower than those reported by said studies, 22,29,31 which implies lower amplitude graphs. For example, Fryzowicz et al 22 show an articular arc in the sagittal plane of the pelvis close to 6 degrees, while Bruening et al 32 report 4.5 degrees of anteversion in men, which is significantly lower than the 9.5 degrees reported in the present study, thus denoting greater pelvic anteversion in our study population.…”

Section: Discussioncontrasting

confidence: 53%

Gait parameters in a sample of healthy Colombian adults aged between 18 and 25 years: a cross-sectional study

et al. 2020

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Parámetros de la marcha en una muestra de adultos sanos colombianos entre 18 y 25 años, un estudio transversal ORIGINAL RESEARCH Abstract Introduction: Gait analysis is fundamental for assessing the functional capacity and motor skills of any individual. Therefore, a reliable and specific analysis method is necessary to study gait in different populations. However, the reference values of gait parameters currently used in Colombia come from studies conducted on population groups from other countries or regions. Objective: To identify the reference values of gait kinematic parameters in healthy Colombian young adults. Materials and methods: A quantitative, descriptive, and cross-sectional study was conducted. The sample consisted of 155 Colombian young adults (aged 18 to 25). Temporal-spatial parameters and kinematics data of each participant were measured through 3D motion capture, which was performed using 8 infrared cameras (Bonita 10) and the VICON NEXUS 1.8.5. software. POLYGON 4.1. software was used for data analysis, and statistical analysis was performed using the STATA 12.1. software package. Results: Average age, height and BMI were 20.3 years, 1.66m and 21.91T kg/m 2 , respectively. 41.29% of participants were male. The average values obtained for the cadence, stride time, speed and initial swing temporal-spatial parameters were as follows: 103 steps/min, 1.16 seconds, 1.01 m/s, and 59.62% of the gait cycle (both sides), respectively. Conclusion: Normal gait kinematic and temporal-spatial parameters of a group of healthy Colombian young adults were obtained, which will allow establishing the characteristics of normal gait in this population, improving intervention strategies, and designing and implementing technical aids aimed at improving locomotion in Colombian individuals.Introducción. El análisis de la marcha es un componente fundamental para evaluar la capacidad motora y funcional de un individuo, por lo que su estudio en diferentes poblaciones requiere un método de análisis confiable y específico. Sin embargo, los parámetros de referencia usados en Colombia provienen de poblaciones de otros países o regiones. Objetivo. Identificar los parámetros cinemáticos de referencia de la marcha en adultos sanos colombianos con edades entre 18 y 25 años. Materiales y métodos. Estudio cuantitativo, descriptivo y de corte transversal realizado en 155 colombianos sanos entre 18 y 25 años. Los parámetros temporo-espaciales y los datos cinemáticos de cada participante fueron medidos mediante captura de movimiento 3D, la cual fue realizada con 8 cámaras infrarrojas (Bonita 10) y el software VICON NEXUS 1.8.5. Los datos fueron analizados con el programa POLYGON 4.1; para el análisis estadístico se utilizó el software STATA 12.1. Resultados. Los promedios de edad, altura e IMC de la muestra fueron 20.3 años, 1.66m y 21.91 kg/m2, respectivamente; además, el 41.29% de los participantes eran hombres. Los promedios obtenidos para los parámetros temporo-espaciales cadencia del paso, duración de la zancada, velocidad e ini...

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“…Biomechanical knee assessment is increasingly used in gait analysis as a tool for characterizing the knee function [1], understanding pathological knee alterations [2], and assessing the progression of knee pathologies and their impact on gait [3]. It has already been suggested that the type and severity of biomechanical changes should be assessed since they can impact treatment outcomes [4].…”

Section: Introductionmentioning

confidence: 99%

A multivariate relationship between the kinematic and clinical parameters of knee osteoarthritis population

et al. 2019

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Background Biomechanical and clinical parameters contribute very closely to functional evaluations of the knee joint. To better understand knee osteoarthritis joint function, the association between a set of knee biomechanical data and a set of clinical parameters of an osteoarthritis population (OA) is investigated in this study. Methods The biomechanical data used here are a set of characteristics derived from 3D knee kinematic patterns: flexion/extension, abduction/adduction, and tibial internal/external rotation measurements, all determined during gait recording. The clinical parameters include a KOOS questionnaire and the patient’s demographic characteristics. Canonical correlation analysis (CCA) is used (1) to evaluate the multivariate relationship between biomechanical data and clinical parameter sets, and (2) to cluster the most correlated parameters. Multivariate models were created within the identified clusters to determine the effect of each parameter’s subset on the other. The analyses were performed on a large database containing 166 OA patients. Results The CCA results showed meaningful correlations that gave rise to three different clusters. Multivariate linear models were found explaining the subjective clinical parameters by evaluating the biomechanical data contained within each cluster. Conclusion The results showed that a multivariate analysis of the clinical symptoms and the biomechanical characteristics of knee joint function allowed a better understanding of their relationships.

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Healthy 3D knee kinematics during gait: Differences between women and men, and correlation with x-ray alignment

Cited by 24 publications

References 44 publications

3D Kinematics and Decision Trees to Predict the Impact of a Physical Exercise Program on Knee Osteoarthritis Patients

3D Kinematics and Decision Trees to Predict the Impact of a Physical Exercise Program on Knee Osteoarthritis Patients

Gait parameters in a sample of healthy Colombian adults aged between 18 and 25 years: a cross-sectional study

A multivariate relationship between the kinematic and clinical parameters of knee osteoarthritis population

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