A simulation framework for humeral head translations

Sarshari, Ehsan; Farron, Alain; Terrier, Alexandre; Pioletti, Dominique P.; Müllhaupt, Ph.

doi:10.1016/j.medengphy.2017.08.013

Cited by 9 publications

(10 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…One of the main applications of this robotic simulator is to evaluate the importance of glenoid implant orientation to better balance potential eccentric loadings in a subject specific case. For this purpose, a customized numerical patient-specific simulator for the prediction of internal forces [20] may be coupled with the robotic simulator for the overall predictions of implant stability before surgery. This robot may also become useful for other applications, such as simulation of the causes of GH subluxation/ dislocation or the design of new prostheses by evaluation of the shoulder stability behavior and tuning of relevant parameters used for the design purpose.…”

Section: Discussionmentioning

confidence: 99%

“…However, most of these models cannot quantify GH translations. To the best of our knowledge, there are only few studies [16][17][18][19][20] that account for the GH translation in numerical modeling of shoulder stability. These numerical predictions are however limited by variations in glenoid implant deformation as well as the absence of stiction and friction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation

Mancuso

Arami

Becce

et al. 2019

Journal of Biomechanical Engineering

Self Cite

View full text Add to dashboard Cite

Total shoulder arthroplasty (TSA) is an effective treatment for glenohumeral (GH) osteoarthritis. However, it still suffers from a substantial rate of mechanical failure, which may be related to cyclic off-center loading of the humeral head on the glenoid. In this work, we present the design and evaluation of a GH joint robotic simulator developed to study GH translations. This five-degree-of-freedom robot was designed to replicate the rotations (±40 deg, accuracy 0.5 deg) and three-dimensional (3D) forces (up to 2 kN, with a 1% error settling time of 0.6 s) that the humeral implant exerts on the glenoid implant. We tested the performances of the simulator using force patterns measured in real patients. Moreover, we evaluated the effect of different orientations of the glenoid implant on joint stability. When simulating realistic dynamic forces and implant orientations, the simulator was able to reproduce stable behavior by measuring the translations of the humeral head of less than 24 mm with respect to the glenoid implant. Simulation with quasi-static forces showed dislocation in extreme ranges of implant orientation. The robotic GH simulator presented here was able to reproduce physiological GH forces and may therefore be used to further evaluate the effects of glenoid implant design and orientation on joint stability.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation

Mancuso

Arami

Becce

et al. 2019

Journal of Biomechanical Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…As primeiras tentativas eram compostas por comparações das forças musculares calculadas com resultados de EMG 83 ou por meio de temporização muscular, que considera o deslocamento dos ventres musculares em função do tempo154 , porém, esses métodos não se mostraram bons indicadores da magnitude de força muscular. Sarshari et al124 avaliaram o comportamento de diversos modelos numéricos da literatura e observaram que os modelos apresentam aumento da força de reação e pressão de contato articular até 90º de abdução, mas divergem quanto ao comportamento além desse grau. A maioria desses estudos demonstrou comportamento de redução da força de reação a partir dos 90º de abdução, fato que vai ao encontro de nossos achados124 .…”

unclassified

“…Sarshari et al124 avaliaram o comportamento de diversos modelos numéricos da literatura e observaram que os modelos apresentam aumento da força de reação e pressão de contato articular até 90º de abdução, mas divergem quanto ao comportamento além desse grau. A maioria desses estudos demonstrou comportamento de redução da força de reação a partir dos 90º de abdução, fato que vai ao encontro de nossos achados124 . Os índices de força de reação articular deste modelo estão levemente superiores à média da literatura124 , o que pode ser explicado por este modelo considerar a ação de coaptação muscular e necessitar da estabilizar uma articulação não congruente 119,120 .…”

unclassified

“…A maioria desses estudos demonstrou comportamento de redução da força de reação a partir dos 90º de abdução, fato que vai ao encontro de nossos achados124 . Os índices de força de reação articular deste modelo estão levemente superiores à média da literatura124 , o que pode ser explicado por este modelo considerar a ação de coaptação muscular e necessitar da estabilizar uma articulação não congruente 119,120 . A estabilidade do sistema, Com relação à área de contato articular, existe divergência na literatura entre os estudos feitos em cadáveres e os feitos por simulações numéricas, os quais apresentam menores valores 124 Essa diferença pode ser justificada pela discriminação mais acurada do contato entre superfícies pelos modelos numéricos.…”

unclassified

See 1 more Smart Citation

Avaliação da trilha da glenoide no ombro

Pecora¹

View full text Add to dashboard Cite

Benchmark and validation of state-of-the-art muscle recruitment strategies in shoulder modelling

Lavaill,

Pizzolato,

Bolsterlee

et al. 2024

Multibody Syst Dyn

View full text Add to dashboard Cite

Shoulder muscle forces estimated via modelling are typically indirectly validated against measurements of glenohumeral joint reaction forces (GHJ-RF). This validation study benchmarks the outcomes of several muscle recruitment strategies against public GHJ-RF measurements. Public kinematics, electromyography, and GHJ-RF data from a selected male participant executing a 2.4 kg weight shoulder abduction task up to 92° GHJ elevation were obtained. The Delft Shoulder and Elbow Model was scaled to the participant. Muscle recruitment was solved by 1) minimising muscle activations squared (SO), 2) accounting for dynamic muscle properties (CMC) and 3) constraining muscle excitations to corresponding surface electromyography measurements (CEINMS). Moreover, the spectrum of admissible GHJ-RF in the model was determined via Markov-chain Monte Carlo stochastic sampling. The experimental GHJ-RF was compared to the resultant GHJ-RF of the different muscle recruitment strategies as well as the admissible stochastic range. From 21 to 40 degrees of humeral elevation, the experimental measurement of the GHJ-RF was outside the admissible range of the model (21 to 659% of body weight (%BW)). Joint force RMSE was between 21 (SO) and 24%BW (CEINMS). At high elevation angles, CMC (11%BW) and CEINMS (14%BW) performed better than SO (25%BW). A guide has been proposed to best select muscle recruitment strategies. At high elevation angles, CMC and CEINMS were the two most accurate methods in terms of predicted GHJ-RF. SO performed best at low elevation angles. In addition, stochastic muscle sampling highlighted the lack of consistency between the model and experimental data at low elevation angles.

show abstract

A simulation framework for humeral head translations

Cited by 9 publications

References 49 publications

A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation

A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation

Avaliação da trilha da glenoide no ombro

Benchmark and validation of state-of-the-art muscle recruitment strategies in shoulder modelling

Contact Info

Product

Resources

About