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Your search keyword '"knee contact forces"' showing total 6 results
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6 results on '"knee contact forces"'

1. Knee contact forces are not altered in early knee osteoarthritis.

Author

Meireles S, De Groote F, Reeves ND, Verschueren S, Maganaris C, Luyten F, and Jonkers I

Subjects
Aged, Female, Humans, Knee Joint pathology, Magnetic Resonance Imaging, Middle Aged, Osteoarthritis, Knee diagnosis, Pressure, Time Factors, Gait physiology, Imaging, Three-Dimensional instrumentation, Knee Joint physiopathology, Osteoarthritis, Knee physiopathology, Range of Motion, Articular physiology, Walking physiology
Abstract

Objective: This study calculated knee contact forces (KCF) and its relations with knee external knee adduction moments (KAM) and/or flexion moments (KFM) during the stance phase of gait in patients with early osteoarthritis (OA), classified based on early joint degeneration on Magnetic Resonance Imaging (MRI). We aimed at assessing if altered KCF are already present in early structural degeneration., Design: Three-dimensional motion and ground reaction force data in 59 subjects with medial compartment knee OA (N=23 established OA, N=16 early OA, N=20 controls) were used as input for a musculoskeletal model. KAM and KFM, and KCF were estimated using OpenSim software., Results: No significant differences were found between controls and subjects with early OA. In early OA patients, KAM significantly explained 69% of the variance associated with the first peaks KCF but only KFM contributed to the second peaks KCF. The multiple correlation, combining KAM and KFM, showed to be higher. However, only 20% of the variance of second peak KCF was explained by both moments in established OA., Conclusion: KCF are not increased in patients with early OA, suggesting that knee joint overload is more a consequence of further joint degeneration in more advanced stages of OA. Additionally, our results clearly show that KAM is not sufficient to predict joint loading at the end of the stance, where KFM contributes substantially to the loading, especially in early OA., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Published
2016
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2. A custom musculoskeletal model for estimation of medial and lateral tibiofemoral contact forces during tasks with high knee and hip flexions.

Author

Bedo, Bruno Luiz Souza, Catelli, Danilo S., Lamontagne, Mario, and Santiago, Paulo Roberto Pereira

Subjects
*KNEE, *TASK forces, *HIP joint, *MUSCULOSKELETAL system, *KINEMATICS
Abstract

Most of musculoskeletal models (MSKM) estimate the tibiofemoral joint reaction load at a single point or do not support large lower-limb ranges. This study aimed to adapt a generic MSKM that allows large knee and hip flexions to compute medial and lateral tibiofemoral contact forces (TFCF) during gait and squat tasks. The updated model includes medial and lateral knee compartment geometries that allow computing the vertical TFCF. The updated MSKM does not affect kinematics and kinetics outputs in both of the tasks, and the sum of the medial and lateral TFCF was equivalent to the net TFCF of the original MSKM. [ABSTRACT FROM AUTHOR]

Published
2020
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3. A comparison of slow, uphill and fast, level walking on lower extremity biomechanics and tibiofemoral joint loading in obese and nonobese adults.

Author

Haight, Derek J., Lerner, Zachary F., Board, Wayne J., and Browning, Raymond C.

Subjects
*WALKING, *BIOMECHANICS, *OVERWEIGHT persons, *ELECTROMYOGRAPHY, *TREADMILL exercise, *HUMAN kinematics, *COMPARATIVE studies
Abstract

ABSTRACT We determined if slow, uphill walking (0.75 m/s, 6°) reduced tibiofemoral (TF) loading compared to faster, level walking (1.50 m/s) in obese and nonobese adults. We collected kinematic, kinetic, and electromyographic data as 9 moderately obese and 10 nonobese participants walked on a dual-belt instrumented treadmill. We used OpenSim to scale a musculoskeletal model and calculate joint kinematics, kinetics, muscle forces, and TF forces. Compressive TF forces were greater in the obese adults during both speed/grade combinations. During level walking, obese participants walked with a straighter leg than nonobese participants, resulting in early stance vasti muscle forces that were similar in the obese and nonobese participants. Early stance peak compressive TF forces were reduced by 23% in obese (2,352 to 1,811 N) and 35% in nonobese (1,994 to 1,303 N) individuals during slow, uphill walking compared to brisk level walking. Late stance peak TF forces were similar across speeds/grades, but were greater in obese (∼2,900 N) compared to nonobese (∼1,700 N) individuals. Smaller early stance TF loads and loading rates suggest that slow, uphill walking may be appropriate exercise for obese individuals at risk for musculoskeletal pathology or pain. © 2013 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 32:324-330, 2014. [ABSTRACT FROM AUTHOR]

Published
2014
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5. Gait Retraining with Real-time Biofeedback for Reducing the Knee Adduction Moment in People with Medial Knee Osteoarthritis

Author

Richards, R.E., Harlaar, Jaap, Dekker, J., van den Noort, Josien, van der Esch, Martin, Rehabilitation medicine, Amsterdam Movement Sciences - Restoration and Development, van den Noort, J.C., and van der Esch, M.

Subjects
knee flexion moment, knee contact forces, knee joint loading, gait retraining, knee adduction moment, gait, knee osteoarthritis
Published
2018

6. Neuromusculoskeletal model calibration significantly affects predicted knee contact forces for walking

Author

Josep M. Font-Llagunes, Gil Serrancolí, Benjamin J. Fregly, Allison Kinney, Universitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica, and Universitat Politècnica de Catalunya. BIOMEC - Biomechanical Engineering Lab

Subjects
Male, Knee Joint, Walking, 02 engineering and technology, Electromyography, medicine.disease_cause, Synaptic Transmission, Weight-bearing, Weight-Bearing, 0302 clinical medicine, Gait (human), sensitivity analysis, Biomechanics, Range of Motion, Articular, Gait, Mathematics, Knee contact forces, medicine.diagnostic_test, Muscles, Enginyeria biomèdica [Àrees temàtiques de la UPC], Mechanics, Research Papers, Calibration, medicine.symptom, Muscle Contraction, Muscle contraction, Body force, Models, Neurological, 0206 medical engineering, Neuromuscular Junction, Biomedical Engineering, Sensitivity and Specificity, Contact force, 03 medical and health sciences, Physiology (medical), medicine, Humans, Computer Simulation, Enginyeria biomèdica::Biomecànica [Àrees temàtiques de la UPC], Muscle, Skeletal, Simulation, Aged, static optimization, Músculs, Reproducibility of Results, Biomecànica, 020601 biomedical engineering, muscle force estimation, neuromusculoskeletal model calibration, Stress, Mechanical, 030217 neurology & neurosurgery
Abstract

Though walking impairments are prevalent in society, clinical treatments are often ineffective at restoring lost function. For this reason, researchers have begun to explore the use of patient-specific computational walking models to develop more effective treatments. However, the accuracy with which models can predict internal body forces in muscles and across joints depends on how well relevant model parameter values can be calibrated for the patient. This study investigated how knowledge of internal knee contact forces affects calibration of neuromusculoskeletal model parameter values and subsequent prediction of internal knee contact and leg muscle forces during walking. Model calibration was performed using a novel two-level optimization procedure applied to six normal walking trials from the Fourth Grand Challenge Competition to Predict In Vivo Knee Loads. The outer-level optimization adjusted time-invariant model parameter values to minimize passive muscle forces, reserve actuator moments, and model parameter value changes with (Approach A) and without (Approach B) tracking of experimental knee contact forces. Using the current guess for model parameter values but no knee contact force information, the inner-level optimization predicted time-varying muscle activations that were close to experimental muscle synergy patterns and consistent with the experimental inverse dynamic loads (both approaches). For all the six gait trials, Approach A predicted knee contact forces with high accuracy for both compartments (average correlation coefficient r = 0.99 and root mean square error (RMSE) = 52.6 N medial; average r = 0.95 and RMSE = 56.6 N lateral). In contrast, Approach B overpredicted contact force magnitude for both compartments (average RMSE = 323 N medial and 348 N lateral) and poorly matched contact force shape for the lateral compartment (average r = 0.90 medial and −0.10 lateral). Approach B had statistically higher lateral muscle forces and lateral optimal muscle fiber lengths but lower medial, central, and lateral normalized muscle fiber lengths compared to Approach A. These findings suggest that poorly calibrated model parameter values may be a major factor limiting the ability of neuromusculoskeletal models to predict knee contact and leg muscle forces accurately for walking.

Published
2016

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