Immediate effect of valgus bracing on knee joint moments in meniscectomised patients: An exploratory study

2016 ◽  
Vol 19 (12) ◽  
pp. 964-969 ◽  
Author(s):  
Maria Thorning ◽  
Jonas B. Thorlund ◽  
Ewa M. Roos ◽  
Tim V. Wrigley ◽  
Michelle Hall
Keyword(s):  
Knee Joint ◽  
Exploratory Study ◽  
Joint Moments

scholarly journals Immediate effect of valgus bracing on knee joint moments in meniscectomized patients: An exploratory study

2016 ◽  
Vol 24 ◽  
pp. S99-S100
Author(s):  
M. Thorning ◽  
J.B. Thorlund ◽  
E.M. Roos ◽  
T.V. Wrigley ◽  
M. Hall
Keyword(s):  
Knee Joint ◽  
Exploratory Study ◽  
Joint Moments

scholarly journals Machine Learning-Based Estimation of Ground Reaction Forces and Knee Joint Kinetics from Inertial Sensors While Performing a Vertical Drop Jump

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7709
Author(s):  
Serena Cerfoglio ◽  
Manuela Galli ◽  
Marco Tarabini ◽  
Filippo Bertozzi ◽  
Chiarella Sforza ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Knee Joint ◽  
Field Analysis ◽  
Ground Reaction Forces ◽  
Drop Jump ◽  
Joint Moments ◽  
Data Set ◽  
Joint Kinetics ◽  
Reaction Forces

Nowadays, the use of wearable inertial-based systems together with machine learning methods opens new pathways to assess athletes’ performance. In this paper, we developed a neural network-based approach for the estimation of the Ground Reaction Forces (GRFs) and the three-dimensional knee joint moments during the first landing phase of the Vertical Drop Jump. Data were simultaneously recorded from three commercial inertial units and an optoelectronic system during the execution of 112 jumps performed by 11 healthy participants. Data were processed and sorted to obtain a time-matched dataset, and a non-linear autoregressive with external input neural network was implemented in Matlab. The network was trained through a train-test split technique, and performance was evaluated in terms of Root Mean Square Error (RMSE). The network was able to estimate the time course of GRFs and joint moments with a mean RMSE of 0.02 N/kg and 0.04 N·m/kg, respectively. Despite the comparatively restricted data set and slight boundary errors, the results supported the use of the developed method to estimate joint kinetics, opening a new perspective for the development of an in-field analysis method.

scholarly journals A Systematic Review of the Associations Between Inverse Dynamics and Musculoskeletal Modeling to Investigate Joint Loading in a Clinical Environment

2020 ◽  
Vol 8 ◽  
Author(s):  
Jana Holder ◽  
Ursula Trinler ◽  
Andrea Meurer ◽  
Felix Stief
Keyword(s):  
Knee Joint ◽  
Clinical Decision Making ◽  
Inverse Dynamics ◽  
Clinical Decision ◽  
Contact Forces ◽  
Musculoskeletal Modeling ◽  
Joint Loading ◽  
Joint Moments ◽  
Internal Joint ◽  
Joint Contact

The assessment of knee or hip joint loading by external joint moments is mainly used to draw conclusions on clinical decision making. However, the correlation between internal and external loads has not been systematically analyzed. This systematic review aims, therefore, to clarify the relationship between external and internal joint loading measures during gait. A systematic database search was performed to identify appropriate studies for inclusion. In total, 4,554 articles were identified, while 17 articles were finally included in data extraction. External joint loading parameters were calculated using the inverse dynamics approach and internal joint loading parameters by musculoskeletal modeling or instrumented prosthesis. It was found that the medial and total knee joint contact forces as well as hip joint contact forces in the first half of stance can be well predicted using external joint moments in the frontal plane, which is further improved by including the sagittal joint moment. Worse correlations were found for the peak in the second half of stance as well as for internal lateral knee joint contact forces. The estimation of external joint moments is useful for a general statement about the peak in the first half of stance or for the maximal loading. Nevertheless, when investigating diseases as valgus malalignment, the estimation of lateral knee joint contact forces is necessary for clinical decision making because external joint moments could not predict the lateral knee joint loading sufficient enough. Dependent on the clinical question, either estimating the external joint moments by inverse dynamics or internal joint contact forces by musculoskeletal modeling should be used.

A Hamstring Fatiguing Protocol Has No Effect On Knee Joint Moments During Landing

2005 ◽  
Vol 37 (Supplement) ◽  
pp. S277-S278
Author(s):  
J. Craig Garrison ◽  
D. Grace Tessier ◽  
Jennifer A. Boxer ◽  
D. Casey Kerrigan ◽  
Christopher D. Ingersoll
Keyword(s):  
Knee Joint ◽  
Joint Moments
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