scholarly journals Evaluation of the hip joint contact force in subjects with Perthes based on OpenSIM

2019 ◽  
Vol 67 ◽  
pp. 44-48
Author(s):  
Mohammad Taghi Karimi ◽  
Lanie Gutierrez-Farewik ◽  
Anthony McGarry
2020 ◽  
Author(s):  
Takuma Inai ◽  
Tomoya Takabayashi ◽  
Mutsuaki Edama ◽  
Masayoshi Kubo

Abstract Background: Excessive mechanical loading, in the form of the joint contact force, has been reported to promote osteoarthritis in vitro and vivo in mice. However, it has also been reported that an excessive hip adduction moment impulse during the stance phase likely contributes to the progression of hip osteoarthritis. The relationship between the hip adduction moment impulse and hip joint contact force (impulse, and first and second peaks) during the stance phase is unclear. The objective of the present study was to clarify this relationship. Methods: A public dataset pertaining to the overground walking of 84 healthy adults, in which the participants walked at a self-selected speed, was considered. The data of three trials for each participant were analyzed. The relationship between the hip adduction moment and hip joint contact force, in terms of the impulse and first and second peaks, during the stance phase was evaluated using correlation coefficients.Results: The hip adduction moment impulse during the stance phase was positively correlated with the hip joint contact force impulse and not correlated with the first and second peak hip joint contact forces. Furthermore, the first and second peak hip adduction moments during the stance phase were positively correlated with the first and second peak hip joint contact forces, respectively. Conclusions: These findings indicate that the hip joint contact force impulse during the stance phase can be used as an index to determine the risk factors for the progression of hip osteoarthritis.


2008 ◽  
Vol 41 (4) ◽  
pp. 770-778 ◽  
Author(s):  
Jessica E. Goetz ◽  
Timothy R. Derrick ◽  
Douglas R. Pedersen ◽  
Duane A. Robinson ◽  
Michael G. Conzemius ◽  
...  

2010 ◽  
Vol 43 (8) ◽  
pp. 1618-1622 ◽  
Author(s):  
Tomas A. Correa ◽  
Kay M. Crossley ◽  
Hyung J. Kim ◽  
Marcus G. Pandy

2020 ◽  
pp. 112070002092541
Author(s):  
Henrik Sørensen ◽  
Ole Skalshøi ◽  
Dennis Brandborg Nielsen ◽  
Julie Sandell Jacobsen ◽  
Kjeld Søballe ◽  
...  

Background: Previous studies on different periacetabular osteotomy approaches for correction of hip dysplasia disagree on the time course of normalisation of muscle function postoperatively, some stating that especially hip flexor function is not fully normalised after 12 months. Purpose: The purpose of this study was to evaluate hip function during walking before, and 6 and 12 months after minimally invasive periacetabular osteotomy. Methods: Using conventional 3D inverse dynamics followed by static optimisation, we calculated hip net joint moment and angular impulse, as well as individual muscle forces and hip joint contact force, during walking for 32 patients with hip dysplasia and 32 matched controls. Results: None of the extensor and abductor measures were significantly different between controls and patients tested preoperatively, nor between any of the 3 time points patients were tested. For all of the flexor measures, patients’ preoperative values were lower than controls’, but had increased to values above the controls 6 months postoperatively. Conclusion: Hip muscle function during walking seemed normalised after 6 months after minimally invasive periacetabular osteotomy, while joint contact force did not fully normalise until 12 months postoperatively, perhaps because the hip joint structures need a longer time to heal than the muscles and a potential pain alleviating strategy was still in effect. Trial registry: Movement pattern in patients with hip dysplasia https://clinicaltrials.gov/ct2/show/NCT01344421 , NCT01344421.


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

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.


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