Evaluation of a computational model to predict elbow range of motion

Willing, Ryan; Nishiwaki, Masao; Johnson, James A.; King, Graham J.W.; Athwal, George S.

doi:10.3109/10929088.2014.886083

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…However, we recognise that the radius will potentially restrict movements of the humeroulnar joint and so included it as a passive component of our models. The forearm was modelled as a single rigid body (Willing et al, 2014), with the radius position fixed relative to the ulna and inheriting its rotations around a single shared joint centre. F I G U R E 1 Describing motion using helical axes.…”

Section: Articulationmentioning

confidence: 99%

Low elbow mobility indicates unique forelimb posture and function in a giant extinct marsupial

et al. 2021

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Joint mobility is a key factor in determining the functional capacity of tetrapod limbs, and is important in palaeobiological reconstructions of extinct animals. Recent advances have been made in quantifying osteological joint mobility using virtual computational methods; however, these approaches generally focus on the proximal limb joints and have seldom been applied to fossil mammals. Palorchestes azael is an enigmatic, extinct ~1000 kg marsupial with no close living relatives, whose functional ecology within Australian Pleistocene environments is poorly understood. Most intriguing is its flattened elbow morphology, which has long been assumed to indicate very low mobility at this important joint. Here, we tested elbow mobility via virtual range of motion (ROM) mapping and helical axis analysis, to quantitatively explore the limits of Palorchestes' elbow movement and compare this with their living and extinct relatives, as well as extant mammals that may represent functional analogues. We find that Palorchestes had the lowest elbow mobility among mammals sampled, even when afforded joint translations in addition to rotational degrees of freedom. This indicates that Palorchestes was limited to crouched forelimb postures, something highly unusual for mammals of this size. Coupled flexion and abduction created a skewed primary axis of movement at the elbow, suggesting an abducted forelimb posture and humeral rotation gait that is not found among marsupials and unlike that seen in any large mammals alive today. This work introduces new quantitative methods and demonstrates the utility of comparative ROM mapping approaches, highlighting that Palorchestes' forelimb function was unlike its contemporaneous relatives and appears to lack clear functional analogues among living mammals.

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Section: Articulationmentioning

confidence: 99%

Low elbow mobility indicates unique forelimb posture and function in a giant extinct marsupial

et al. 2021

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“…For representing the kinematics of synovial joints in musculoskeletal modelling different models have been used. The simplest one considers only one degree of freedom (DoF) (flexion-extension), representing a perfect revolute joint located in the sagittal plan [16,18,19]. Other studies [20,21] implemented a 2 DoF model considering flexion-extension and pronation-supination movements.…”

Section: Introductionmentioning

confidence: 99%

Effects of realistic sheep elbow kinematics in inverse dynamic simulation

et al. 2019

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Looking for new opportunities in mechanical design, we are interested in studying the kinematic behaviour of biological joints. The real kinematic behaviour of the elbow of quadruped animals (which is submitted to high mechanical stresses in comparison with bipeds) remains unexplored. The sheep elbow joint was chosen because of its similarity with a revolute joint. The main objective of this study is to estimate the effects of elbow simplifications on the prediction of joint reaction forces in inverse dynamic simulations. Rigid motions between humerus and radius-ulna were registered during full flexion-extension gestures on five cadaveric specimens. The experiments were initially conducted with fresh specimens with ligaments and repeated after removal of all soft tissue, including cartilage. A digital image correlation system was used for tracking optical markers fixed on the bones. The geometry of the specimens was digitized using a 3D optical scanner. Then, the instantaneous helical axis of the joint was computed for each acquisition time. Finally, an OpenSim musculoskeletal model of the sheep forelimb was used to quantify effects of elbow joint approximations on the prediction of joint reaction forces. The motion analysis showed that only the medial-lateral translation is sufficiently large regarding the measuring uncertainty of the experiments. This translation assimilates the sheep elbow to a screw joint instead of a revolute joint. In comparison with fresh specimens, the experiments conducted with dry bone specimens (bones without soft tissue) provided different kinematic behaviour. From the results of our inverse dynamic simulations, it was noticed that the inclusion of the medial-lateral translation to the model made up with the mean flexion axis does not affect the predicted joint reaction forces. A geometrical difference between the axis of the best fitting cylinder and the mean flexion axis (derived from the motion analysis) of fresh specimens was highlighted. This geometrical difference impacts slightly the prediction of joint reactions.

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“…Computational models of the elbow have been employed to study the joint biomechanical behaviour and analyse musculoskeletal movement [ 2 , 3 , 4 , 5 ]. However, these models have limited clinical applicability by assuming a fixed joint axis of rotation (e.g., hinge joint) rather than a true anatomical joint constrained by ligament forces and cartilage contacts.…”

Section: Introductionmentioning

confidence: 99%

Musculoskeletal Model Development of the Elbow Joint with an Experimental Evaluation

et al. 2018

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A dynamic musculoskeletal model of the elbow joint in which muscle, ligament, and articular surface contact forces are predicted concurrently would be an ideal tool for patient-specific preoperative planning, computer-aided surgery, and rehabilitation. Existing musculoskeletal elbow joint models have limited clinical applicability because of idealizing the elbow as a mechanical hinge joint or ignoring important soft tissue (e.g., cartilage) contributions. The purpose of this study was to develop a subject-specific anatomically correct musculoskeletal elbow joint model and evaluate it based on experimental kinematics and muscle electromyography measurements. The model included three-dimensional bone geometries, a joint constrained by multiple ligament bundles, deformable contacts, and the natural oblique wrapping of ligaments. The musculoskeletal model predicted the bone kinematics reasonably accurately in three different velocity conditions. The model predicted timing and number of muscle excitations, and the normalized muscle forces were also in agreement with the experiment. The model was able to predict important in vivo parameters that are not possible to measure experimentally, such as muscle and ligament forces, and cartilage contact pressure. In addition, the developed musculoskeletal model was computationally efficient for body-level dynamic simulation. The maximum computation time was less than 30 min for our 35 s simulation. As a predictive clinical tool, the potential medical applications for this model and modeling approach are significant.

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Evaluation of a computational model to predict elbow range of motion

Cited by 9 publications

References 22 publications

Low elbow mobility indicates unique forelimb posture and function in a giant extinct marsupial

Low elbow mobility indicates unique forelimb posture and function in a giant extinct marsupial

Effects of realistic sheep elbow kinematics in inverse dynamic simulation

Musculoskeletal Model Development of the Elbow Joint with an Experimental Evaluation

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