Effect of foot progression angle adjustment on the knee adduction moment and knee joint contact force in runners with and without knee osteoarthritis

2018 ◽  
Vol 61 ◽  
pp. 34-39 ◽  
Author(s):  
I.C.D. Fong ◽  
W.S.C. Li ◽  
W.K.J. Tai ◽  
T.W.R. Tsang ◽  
J.H. Zhang ◽  
...  
Keyword(s):  
Knee Joint ◽  
Knee Osteoarthritis ◽  
Contact Force ◽  
Knee Adduction Moment ◽  
Joint Contact Force ◽  
Foot Progression Angle ◽  
Joint Contact

Prediction of Knee Joint Contact Forces From External Measures Using Principal Component Prediction and Reconstruction

2018 ◽  
Vol 34 (5) ◽  
pp. 419-423 ◽  
Author(s):  
Christopher M. Saliba ◽  
Allison L. Clouthier ◽  
Scott C.E. Brandon ◽  
Michael J. Rainbow ◽  
Kevin J. Deluzio
Keyword(s):  
Knee Joint ◽  
Knee Osteoarthritis ◽  
Real Time ◽  
Contact Force ◽  
Haptic Feedback ◽  
Principal Component ◽  
Contact Forces ◽  
Statistical Regression ◽  
Joint Contact Force ◽  
Joint Contact

Abnormal loading of the knee joint contributes to the pathogenesis of knee osteoarthritis. Gait retraining is a noninvasive intervention that aims to reduce knee loads by providing audible, visual, or haptic feedback of gait parameters. The computational expense of joint contact force prediction has limited real-time feedback to surrogate measures of the contact force, such as the knee adduction moment. We developed a method to predict knee joint contact forces using motion analysis and a statistical regression model that can be implemented in near real-time. Gait waveform variables were deconstructed using principal component analysis, and a linear regression was used to predict the principal component scores of the contact force waveforms. Knee joint contact force waveforms were reconstructed using the predicted scores. We tested our method using a heterogenous population of asymptomatic controls and subjects with knee osteoarthritis. The reconstructed contact force waveforms had mean (SD) root mean square differences of 0.17 (0.05) bodyweight compared with the contact forces predicted by a musculoskeletal model. Our method successfully predicted subject-specific shape features of contact force waveforms and is a potentially powerful tool in biofeedback and clinical gait analysis.

Soldier-relevant body borne loads increase knee joint contact force during a run-to-stop maneuver

2016 ◽  
Vol 49 (16) ◽  
pp. 3868-3874 ◽  
Author(s):  
John W. Ramsay ◽  
Clifford L. Hancock ◽  
Meghan P. O’Donovan ◽  
Tyler N. Brown
Keyword(s):  
Knee Joint ◽  
Contact Force ◽  
Joint Contact Force ◽  
Joint Contact

scholarly journals Estimation of the Knee Adduction Moment and Joint Contact Force during Daily Living Activities Using Inertial Motion Capture

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1681 ◽  
Author(s):  
Jason Konrath ◽  
Angelos Karatsidis ◽  
H. Schepers ◽  
Giovanni Bellusci ◽  
Mark de Zee ◽  
...  
Keyword(s):  
Motion Capture ◽  
Contact Force ◽  
Daily Living ◽  
Contact Forces ◽  
Knee Adduction Moment ◽  
Inertial Motion ◽  
Daily Living Activities ◽  
Tibiofemoral Joint ◽  
Joint Contact Force ◽  
Joint Contact

Knee osteoarthritis is a major cause of pain and disability in the elderly population with many daily living activities being difficult to perform as a result of this disease. The present study aimed to estimate the knee adduction moment and tibiofemoral joint contact force during daily living activities using a musculoskeletal model with inertial motion capture derived kinematics in an elderly population. Eight elderly participants were instrumented with 17 inertial measurement units, as well as 53 opto-reflective markers affixed to anatomical landmarks. Participants performed stair ascent, stair descent, and sit-to-stand movements while both motion capture methods were synchronously recorded. A musculoskeletal model containing 39 degrees-of-freedom was used to estimate the knee adduction moment and tibiofemoral joint contact force. Strong to excellent Pearson correlation coefficients were found for the IMC-derived kinematics across the daily living tasks with root mean square errors (RMSE) between 3° and 7°. Furthermore, moderate to strong Pearson correlation coefficients were found in the knee adduction moment and tibiofemoral joint contact forces with RMSE between 0.006–0.014 body weight × body height and 0.4 to 1 body weights, respectively. These findings demonstrate that inertial motion capture may be used to estimate knee adduction moments and tibiofemoral contact forces with comparable accuracy to optical motion capture.

The Effect of Surface Inclination to Knee Joint Contact Force: A Pilot Study

2021 ◽  
pp. 729-736
Author(s):  
Noor Arifah Azwani Abdul Yamin ◽  
Khairul Salleh Basaruddin ◽  
Ahmad Faizal Salleh ◽  
Ruslizam Daud ◽  
Mohd Hanafi Mat Som
Keyword(s):  
Pilot Study ◽  
Knee Joint ◽  
Contact Force ◽  
Joint Contact Force ◽  
Joint Contact ◽  
Surface Inclination ◽  
Effect Of Surface

scholarly journals Minimum detectable change for knee joint contact force estimates using an EMG-driven model

2013 ◽  
Vol 38 (4) ◽  
pp. 1051-1053 ◽  
Author(s):  
Emily S. Gardinier ◽  
Kurt Manal ◽  
Thomas S. Buchanan ◽  
Lynn Snyder-Mackler
Keyword(s):  
Knee Joint ◽  
Contact Force ◽  
Detectable Change ◽  
Minimum Detectable Change ◽  
Joint Contact Force ◽  
Joint Contact
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