Prediction of Antagonistic Muscle Forces Using Inverse Dynamic Optimization During Flexion/Extension of the Knee

1999 ◽  
Vol 121 (3) ◽  
pp. 316-322 ◽  
Author(s):  
G. Li ◽  
K. R. Kaufman ◽  
E. Y. S. Chao ◽  
H. E. Rubash
Keyword(s):  
Dynamic Optimization ◽  
Optimization Procedure ◽  
Muscle Forces ◽  
Inverse Dynamic ◽  
Optimization Criteria ◽  
Flexion Extension ◽  
Antagonistic Muscle ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Joint Reaction

This paper examined the feasibility of using different optimization criteria in inverse dynamic optimization to predict antagonistic muscle forces and joint reaction forces during isokinetic flexion/extension and isometric extension exercises of the knee. Both quadriceps and hamstrings muscle groups were included in this study. The knee joint motion included flexion/extension, varus/valgus, and internal/external rotations. Four linear, nonlinear, and physiological optimization criteria were utilized in the optimization procedure. All optimization criteria adopted in this paper were shown to be able to predict antagonistic muscle contraction during flexion and extension of the knee. The predicted muscle forces were compared in temporal patterns with EMG activities (averaged data measured from five subjects). Joint reaction forces were predicted to be similar using all optimization criteria. In comparison with previous studies, these results suggested that the kinematic information involved in the inverse dynamic optimization plays an important role in prediction of the recruitment of antagonistic muscles rather than the selection of a particular optimization criterion. Therefore, it might be concluded that a properly formulated inverse dynamic optimization procedure should describe the knee joint rotation in three orthogonal planes.

Influence of the Musculotendon Dynamics on the Muscle Force-Sharing Problem of the Shoulder—A Fully Inverse Dynamics Approach

2018 ◽  
Vol 140 (7) ◽  
Author(s):  
Quental Carlos ◽  
Azevedo Margarida ◽  
Ambrósio Jorge ◽  
Gonçalves S. B. ◽  
Folgado João
Keyword(s):  
Muscle Activation ◽  
Inverse Dynamics ◽  
Glenohumeral Joint ◽  
Inverse Dynamic ◽  
Force Sharing ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Muscle Activations ◽  
Joint Reaction

Abstract Most dynamic simulations are based on inverse dynamics, being the time-dependent physiological nature of the muscle properties rarely considered due to numerical challenges. Since the influence of muscle physiology on the consistency of inverse dynamics simulations remains unclear, the purpose of the present study is to evaluate the computational efficiency and biological validity of four musculotendon models that differ in the simulation of the muscle activation and contraction dynamics. Inverse dynamic analyses are performed using a spatial musculoskeletal model of the upper limb. The muscle force-sharing problem is solved for five repetitions of unloaded and loaded motions of shoulder abduction and shoulder flexion. The performance of the musculotendon models is evaluated by comparing muscle activation predictions with electromyography (EMG) signals, measured synchronously with motion for 11 muscles, and the glenohumeral joint reaction forces estimated numerically with those measured in vivo. The results show similar muscle activations for all muscle models. Overall, high cross-correlations are computed between muscle activations and the EMG signals measured for all movements analyzed, which provides confidence in the results. The glenohumeral joint reaction forces estimated compare well with those measured in vivo, but the influence of the muscle dynamics is found to be negligible. In conclusion, for slow-speed, standard movements of the upper limb, as those studied here, the activation and musculotendon contraction dynamics can be neglected in inverse dynamic analyses without compromising the prediction of muscle and joint reaction forces.

Inverse Dynamic Analysis of Shoulder Muscle Activity During Archery Draw Back

2015 ◽  
Author(s):  
Aviktha Reddy ◽  
Yahia M. Al-Smadi
Keyword(s):  
Muscle Activity ◽  
Inverse Dynamic ◽  
Repetitive Motion ◽  
Inverse Dynamic Analysis ◽  
Shoulder Muscle ◽  
Biomechanical Simulation ◽  
Working Postures ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Joint Reaction

The objective of this study is to conduct biomechanical simulation for a musculoskeletal of archery performance. The simulation aims to find the movement patterns in working postures, the muscle activity and joint reaction forces. The results obtained are discussed and the work presented can help analyze the utilization of various muscles during the performance of the repetitive motion of archery.

Estimation of Shoulder Joint Reaction Forces and Moments Using MBS Dynamic Modeling

2014 ◽  
Vol 555 ◽  
pp. 701-706 ◽  
Author(s):  
Elena Mereuta ◽  
Daniel Ganea ◽  
Claudiu Mereuta
Keyword(s):  
Upper Limb ◽  
Shoulder Joint ◽  
Driving Force ◽  
Biceps Muscle ◽  
The Third ◽  
Flexion Extension ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Human Upper Limb ◽  
Joint Reaction

The paper presents a dynamic model created for estimating the magnitude of reaction forces and moments in the shoulder joint of the human upper limb. Considering that the flexion-extension motion of the forearm is simulated under three different conditions, the reaction forces and moments are determined. The first actuating case is corresponding to the case in which the driving force is acting on the long end of the biceps muscle. In the second case the driving force is acting on the short end of the biceps muscle, and in the third case the driving force is acting on both ends of the biceps muscle.

The Effect of Knee Model on Estimates of Muscle and Joint Forces in Recumbent Pedaling

2009 ◽  
Vol 132 (1) ◽  
Author(s):  
Michael J. Koehle ◽  
M. L. Hull
Keyword(s):  
Knee Joint ◽  
Dynamic Simulation ◽  
Joint Model ◽  
Human Motion ◽  
Muscle Forces ◽  
Knee Model ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Simulation Results ◽  
Joint Reaction

The usefulness of forward dynamic simulations to studies of human motion is well known. Although the musculoskeletal models used in these studies are generic, the modeling of specific components, such as the knee joint, may vary. Our two objectives were (1) to investigate the effects of three commonly used knee models on forward dynamic simulation results, and (2) to study the sensitivity of simulation results to variations in kinematics for the most commonly used knee model. To satisfy the first objective, three different tibiofemoral models were incorporated into an existing forward dynamic simulation of recumbent pedaling, and the resulting kinematics, pedal forces, muscle forces, and joint reaction forces were compared. Two of these models replicated the rolling and sliding motion of the tibia on the femur, while the third was a simple pin joint. To satisfy the second objective, variations in the most widely used of the three knee models were created by adjusting the experimental data used in the development of this model. These variations were incorporated into the pedaling simulation, and the resulting data were compared with the unaltered model. Differences between the two rolling-sliding models were smaller than differences between the pin-joint model and the rolling-sliding models. Joint reactions forces, particularly at the knee, were highly sensitive to changes in knee joint model kinematics, as high as 61% root mean squared difference, normalized by the corresponding peak force of the unaltered reference model. Muscle forces were also sensitive, as high as 30% root mean squared difference. Muscle excitations were less sensitive. The observed changes in muscle force and joint reaction forces were caused primarily by changes in the moment arms and musculotendon lengths of the quadriceps. Although some level of inaccuracy in the knee model may be acceptable for calculations of muscle excitation timing, a representative model of knee kinematics is necessary for accurate calculation of muscle and joint reaction forces.

Musculoskeletal Modeling of Acetabular Dysplasia-Kinematics, Muscle and Joint Reaction Forces

2010 ◽  
Author(s):  
Michael D. Harris ◽  
Ryan S. Davis ◽  
Bruce A. MacWilliams ◽  
Christopher L. Peters ◽  
Andrew E. Anderson
Keyword(s):  
Hip Joint ◽  
Acetabular Dysplasia ◽  
Joint Kinematics ◽  
Developmental Dysplasia ◽  
Musculoskeletal Modeling ◽  
Muscle Forces ◽  
Joint Force ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Joint Reaction

Anatomical pathologies of the hip, such as developmental dysplasia are a common cause of hip pain in the young adult. While it is generally accepted that cartilaginous lesions and tears to the acetabular labrum initiate pain, muscle compensation/weakness may also contribute, especially for patients who do not have evidence of soft-tissue damage. Musculoskeletal models provide estimates of muscle forces as well as the equivalent force that acts upon the joint. Force data can then be compared to any observed differences in joint kinematics, thereby improving the interpretability of data from traditional gait studies. While a few studies have reported alterations in hip joint kinematics due to acetabular dysplasia, to our knowledge, muscle force differences have not been estimated [1, 2]. The purpose of this study was to couple traditional gait analysis with musculoskeletal modeling to compare hip joint kinematics, muscle forces, and joint reaction forces between subjects with acetabular dysplasia and normal controls.

scholarly journals A Pilot Study of Musculoskeletal Abnormalities in Patients in Recovery from a Unilateral Rupture-Repaired Achilles Tendon

2020 ◽  
Vol 17 (13) ◽  
pp. 4642
Author(s):  
Dong Sun ◽  
Gusztáv Fekete ◽  
Julien S. Baker ◽  
Qichang Mei ◽  
Bíró István ◽  
...  
Keyword(s):  
Muscle Strength ◽  
Knee Joint ◽  
Achilles Tendon ◽  
Ankle Joint ◽  
Muscle Forces ◽  
Joint Moments ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Joint Loads ◽  
Joint Reaction

The purpose of this study was to compare the inter-limb joint kinematics, joint moments, muscle forces, and joint reaction forces in patients after an Achilles tendon rupture (ATR) via subject-specific musculoskeletal modeling. Six patients recovering from a surgically repaired unilateral ATR were included in this study. The bilateral Achilles tendon (AT) lengths were evaluated using ultrasound imaging. The three-dimensional marker trajectories, ground reaction forces, and surface electromyography (sEMG) were collected on both sides during self-selected speed during walking, jogging and running. Subject-specific musculoskeletal models were developed to compute joint kinematics, joint moments, muscle forces and joint reaction forces. AT lengths were significantly longer in the involved side. The side-to-side triceps surae muscle strength deficits were combined with decreased plantarflexion angles and moments in the injured leg during walking, jogging and running. However, the increased knee extensor femur muscle forces were associated with greater knee extension degrees and moments in the involved limb during all tasks. Greater knee joint moments and joint reaction forces versus decreased ankle joint moments and joint reaction forces in the involved side indicate elevated knee joint loads compared with reduced ankle joint loads that are present during normal activities after an ATR. In the frontal plane, increased subtalar eversion angles and eversion moments in the involved side were demonstrated only during jogging and running, which were regarded as an indicator for greater medial knee joint loading. It seems after an ATR, the elongated AT accompanied by decreased plantarflexion degrees and calf muscle strength deficits indicates ankle joint function impairment in the injured leg. In addition, increased knee extensor muscle strength and knee joint loads may be a possible compensatory mechanism for decreased ankle function. These data suggest patients after an ATR may suffer from increased knee overuse injury risk.

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