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Journal articles on the topic 'Shoulder modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Rozendal, R. H., H. E. Veeger, F. C. T. van der Helm, G. M. Pronk, and L. H. van der Woude. "Modelling of the shoulder mechanism." Journal of Biomechanics 22, no. 10 (1989): 1076. http://dx.doi.org/10.1016/0021-9290(89)90441-7.

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2

Favre, Philippe, Jess G. Snedeker, and Christian Gerber. "Numerical modelling of the shoulder for clinical applications." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1895 (2009): 2095–118. http://dx.doi.org/10.1098/rsta.2008.0282.

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Research activity involving numerical models of the shoulder is dramatically increasing, driven by growing rates of injury and the need to better understand shoulder joint pathologies to develop therapeutic strategies. Based on the type of clinical question they can address, existing models can be broadly categorized into three groups: (i) rigid body models that can simulate kinematics, collisions between entities or wrapping of the muscles over the bones, and which have been used to investigate joint kinematics and ergonomics, and are often coupled with (ii) muscle force estimation techniques

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3

Prabha, K. Aruna, S. Swetha, Priyadarsini Morampudi, and CH Naveen Reddy. "Modelling and Analysis of Shoulder Traction Surgery Kit." IOP Conference Series: Materials Science and Engineering 1012 (January 8, 2021): 012012. http://dx.doi.org/10.1088/1757-899x/1012/1/012012.

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4

Prabha, K. Aruna, S. Swetha, Priyadarsini Morampudi, and CH Naveen Reddy. "Modelling and Analysis of Shoulder Traction Surgery Kit." IOP Conference Series: Materials Science and Engineering 1012 (January 8, 2021): 012012. http://dx.doi.org/10.1088/1757-899x/1012/1/012012.

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5

Van der Helm, F. C. T., H. E. J. Veeger, G. M. Pronk, L. H. V. Van der Woude, and R. H. Rozendal. "Geometry parameters for musculoskeletal modelling of the shoulder system." Journal of Biomechanics 25, no. 2 (1992): 129–44. http://dx.doi.org/10.1016/0021-9290(92)90270-b.

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6

Dev, Manish, Dr Suman Kant, and Shashikant Pandey. "Predictive Modelling of Musculoskeltal Disorder in Shoulder Musculature Among School Students: Case Study, Kangra, Himachal Pradesh, India." International Journal of Scientific Research 2, no. 7 (2012): 196–98. http://dx.doi.org/10.15373/22778179/july2013/64.

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7

French, H. G., and H. P. Davies. "Computer modelling of trans-shoulder forces in motor vehicle Accidents." International Journal of Crashworthiness 7, no. 1 (2002): 35–42. http://dx.doi.org/10.1533/cras.2002.0204.

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8

French, H. G., and H. P. Davis. "Computer modelling of trans-shoulder forces in motor vehicle accidents." International Journal of Crashworthiness 7, no. 2 (2002): 219–31. http://dx.doi.org/10.1533/cras.2002.0216.

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9

Kontaxis, A., and G. R. Johnson. "The biomechanics of reverse anatomy shoulder replacement – A modelling study." Clinical Biomechanics 24, no. 3 (2009): 254–60. http://dx.doi.org/10.1016/j.clinbiomech.2008.12.004.

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10

Hopkins, Andrew R., Ulrich N. Hansen, Andrew A. Amis, Mark Taylor, Nicole Gronau, and Carolyn Anglin. "Finite element modelling of glenohumeral kinematics following total shoulder arthroplasty." Journal of Biomechanics 39, no. 13 (2006): 2476–83. http://dx.doi.org/10.1016/j.jbiomech.2005.07.031.

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11

Almeida-Galárraga, Diego, Antonio Ros-Felip, Virginia Álvarez-Sánchez, Fernando Marco-Martinez, and Laura Serrano-Mateo. "Kinematics based physical modelling and experimental analysis of the shoulder joint complex." Ingeniería e Investigación 37, no. 3 (2017): 115–23. http://dx.doi.org/10.15446/ing.investig.v37n3.63144.

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The purpose of this work is to develop an experimental physical model of the shoulder joint complex. The aim of this research is to validate the model built and identify the forces on specified positions of this joint. The shoulder musculoskeletal structures have been replicated to evaluate the forces to which muscle fibres are subjected in different equilibrium positions: 60º flexion, 60º abduction and 30º abduction and flexion. The physical model represents, quite accurately, the shoulder complex. It has 12 real degrees of freedom, which allows motions such as abduction, flexion, adduction a

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12

Ingram, David, Christoph Engelhardt, Alain Farron, Alexandre Terrier, and Philippe Müllhaupt. "Modelling of the human shoulder as a parallel mechanism without constraints." Mechanism and Machine Theory 100 (June 2016): 120–37. http://dx.doi.org/10.1016/j.mechmachtheory.2016.02.004.

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13

Bolsterlee, Bart, DirkJan H. E. J. Veeger, and Edward K. Chadwick. "Clinical applications of musculoskeletal modelling for the shoulder and upper limb." Medical & Biological Engineering & Computing 51, no. 9 (2013): 953–63. http://dx.doi.org/10.1007/s11517-013-1099-5.

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14

van Beesel, Julia, John R. Hutchinson, Jean‐Jacques Hublin, and Stephanie M. Melillo. "Exploring the functional morphology of the Gorilla shoulder through musculoskeletal modelling." Journal of Anatomy 239, no. 1 (2021): 207–27. http://dx.doi.org/10.1111/joa.13412.

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15

Tu¨mer, S. T., and A. E. Engin. "Three-Dimensional Kinematic Modelling of the Human Shoulder Complex—Part II: Mathematical Modelling and Solution Via Optimization." Journal of Biomechanical Engineering 111, no. 2 (1989): 113–21. http://dx.doi.org/10.1115/1.3118775.

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In this paper, individual joint sinus cones associated with the sternoclavicular, claviscapular, and glenohumeral joints of the three-dimensional kinematic model introduced in Part I for the human shoulder complex are quantitatively determined. First, mathematical description of the humerus orientation with respect to torso is given in terms of eight joint variables. Since the system is a kinematically redundant one, solution for the joint variables satisfying a prescribed humerus orientation is possible only if additional requirements are imposed; and the “minimum joint motion” criterion is i

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16

Bao, H., and P. Y. Willems. "On the kinematic modelling and the parameter estimation of the human shoulder." Journal of Biomechanics 32, no. 9 (1999): 943–50. http://dx.doi.org/10.1016/s0021-9290(99)00071-8.

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17

Piles, Laura, Miguel J. Reig, V. Jesús Seguí, and Rafael Pla. "Reverse shoulder arthroplasty: methodology improvement through personalized modelling techniques and FDM technology." Procedia Manufacturing 41 (2019): 755–62. http://dx.doi.org/10.1016/j.promfg.2019.09.067.

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18

Abdelhameed, Esam H., Noritaka Sato, and Yoshifumi Morita. "Neural network-based shoulder instability diagnosis modelling for robot-assisted rehabilitation systems." Systems Science & Control Engineering 3, no. 1 (2015): 514–23. http://dx.doi.org/10.1080/21642583.2015.1108884.

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19

Han Kim, K., Bernard J. Martin, and Don B. Chaffin. "Modelling of shoulder and torso perception of effort in manual transfer tasks." Ergonomics 47, no. 9 (2004): 927–44. http://dx.doi.org/10.1080/00140130410001673397.

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20

Wood, J. E., S. G. Meek, and S. C. Jacobsen. "Quantitation of human shoulder anatomy for prosthetic arm control—I. Surface modelling." Journal of Biomechanics 22, no. 3 (1989): 273–92. http://dx.doi.org/10.1016/0021-9290(89)90094-8.

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21

Veeger, H. E. J., F. C. T. Van Der Helm, L. H. V. Van Der Woude, G. M. Pronk, and R. H. Rozendal. "Inertia and muscle contraction parameters for musculoskeletal modelling of the shoulder mechanism." Journal of Biomechanics 24, no. 7 (1991): 615–29. http://dx.doi.org/10.1016/0021-9290(91)90294-w.

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22

Bola, M., J. A. Simões, and A. Ramos. "Finite element modelling and experimental validation of a total implanted shoulder joint." Computer Methods and Programs in Biomedicine 207 (August 2021): 106158. http://dx.doi.org/10.1016/j.cmpb.2021.106158.

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23

Chase, P., and E. Avineri. "Maximizing Motorway Capacity Through Hard Shoulder Running: UK Perspective." Open Transportation Journal 2, no. 1 (2008): 7–18. http://dx.doi.org/10.2174/1874447800802010007.

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24

Al-Shareedah, E. M., and T. F. Lehnhoff. "General Plate Formula for Bevel Gears with Back Shoulder." Transactions of the Canadian Society for Mechanical Engineering 9, no. 3 (1985): 131–36. http://dx.doi.org/10.1139/tcsme-1985-0019.

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Strength of bevel gears can be increased substantially if a web support is provided the back of their teeth. This web can be obtained by either cutting gears through a special gear manufacturing operation, or through the technique of gear forging. In this analysis, the strength due to this back web support is investigated. The new gear tooth configuration, which resembles a plate supported at two adjacent edges is analyzed. The variational energy approach and a finite element modelling technique was also used to analyze six bevel gears. The resulting design equation describes the characteristi

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25

Klemt, Christian, Daniel Nolte, Ziyun Ding, et al. "Anthropometric Scaling of Anatomical Datasets for Subject-Specific Musculoskeletal Modelling of the Shoulder." Annals of Biomedical Engineering 47, no. 4 (2019): 924–36. http://dx.doi.org/10.1007/s10439-019-02207-2.

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26

Salmerón-Quiroz, B. B., C. F. Mendez-Barrios, J. F. Guerrero-Castellanos, S. A. Rodriguez-Paredes, and G. Villegas-Medina. "Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder." Discrete Dynamics in Nature and Society 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/586480.

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In this paper we focus on the human arm motion capture, which is motivated by the requirements in physical rehabilitation and training of stroke patients in the same way as monitoring of elderly person activities. The proposed methodology uses a data fusion of low-cost and low-weight MEMS sensors jointly to an a priori knowledge of the arm anatomy. The main goal is to estimate the arm position, the anatomical movements of the shoulder and its accelerations. We propose a discrete optimization based-approach which aims to search the optimal attitude ambiguity directly without decorrelation of am

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27

Tamadon, A., D. J. Pons, K. Chakradhar, J. Kamboj, and D. Clucas. "3D-Printed Tool Shoulder Design for the Analogue Modelling of Bobbin Friction Stir Weld Joint Quality." Advances in Materials Science 21, no. 1 (2021): 27–42. http://dx.doi.org/10.2478/adms-2021-0003.

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Abstract A variety of tool shoulder designs comprising three families i.e. blade, spiral and circular shaped scrolls, were produced to improve the material flow and restrictions to avoid the tunnel void. The bobbin tools were manufactured by 3D printing additive manufacturing technology using solid filament. The butt weld joint was produced by each tool using plasticine as the workpiece material. The apparent surface features and bi-colour cross-sections provided a physical flow comparison among the shoulder designs. For the bobbin friction stir welding (BFSW), the tool shoulder with a three-s

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28

Aurbach, Maximilian, Jan Spicka, Franz Süß, and Sebastian Dendorfer. "Evaluation of musculoskeletal modelling parameters of the shoulder complex during humeral abduction above 90°." Journal of Biomechanics 106 (June 2020): 109817. http://dx.doi.org/10.1016/j.jbiomech.2020.109817.

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29

Bednarski, Radosław, Adrianna Bielak, and Adam Wojciechowski. "Review of muscle modelling methods from the point of view of motion biomechanics with particular emphasis on the shoulder." Open Physics 17, no. 1 (2019): 545–55. http://dx.doi.org/10.1515/phys-2019-0056.

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Abstract Correct modelling of human muscle is very difficult issue. The digital model can be used for understandig, how the muscle works, what kinds of processes take places during their work. It can be also used for check correctness of animation synteze. Researchers have developed many methods for creating shoulder models. They differ not only in the approach to creating models, but also in applications. In this article, the authors reviewed the methods of modelling muscles and applied these models for possible application in biomechanics.

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30

Mândru, Dan, Olimpiu Tǎtar, Simona Noveanu, and Alexandru Ianoşi-Andreeva-Dimitrova. "Design and Modelling 4 DOFs Upper Limb Exoskeleton." Applied Mechanics and Materials 823 (January 2016): 107–12. http://dx.doi.org/10.4028/www.scientific.net/amm.823.107.

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Based on upper limb’s biomechanisms, in this paper, a robotic rehabilitation system is presented. It is designed as a 4 DOFs wearable exoskeleton applicable for repetitive practice of passive or active movements of the arm in shoulder joint and forearm in elbow joint. The kinematic analysis of the proposed system is followed by the 3D model and a description of the developed prototype.

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31

Hearle, John W. S. "Impressions of a Career on the Hard Shoulder of Textile Software: the Route to Modelling." Research Journal of Textile and Apparel 14, no. 3 (2010): 1–11. http://dx.doi.org/10.1108/rjta-14-03-2010-b001.

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32

van der Helm, F. C. T., and R. Veenbaas. "Modelling the mechanical effect of muscles with large attachment sites: Application to the shoulder mechanism." Journal of Biomechanics 24, no. 12 (1991): 1151–63. http://dx.doi.org/10.1016/0021-9290(91)90007-a.

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33

Quental, C., P. R. Fernandes, J. Monteiro, and J. Folgado. "Bone remodelling of the scapula after a total shoulder arthroplasty." Biomechanics and Modeling in Mechanobiology 13, no. 4 (2013): 827–38. http://dx.doi.org/10.1007/s10237-013-0537-5.

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34

Pedersen, Niels Leergaard. "Aspects of stress in optimal shaft shoulder fillet." Journal of Strain Analysis for Engineering Design 53, no. 5 (2018): 285–94. http://dx.doi.org/10.1177/0309324718763514.

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Shafts are among the most common machine elements. The typical shape used to reduce stress concentrations is circular arches due to the simplicity. A shaft is typically loaded by axial, bending, and torsional loads in different combinations. The stress concentration factors are found in tables and charts. The circular design is not optimal from a strength point of view, and the strength can be increased using shape optimization. It is in this article shown how the maximum stress from the combined loads can be minimized, when the shape is parameterized using the simple super ellipse. This makes

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35

Gurewitsch Allen, Edith D. "Simulation of Shoulder Dystocia for Skill Acquisition and Competency Assessment." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 13, no. 4 (2018): 268–83. http://dx.doi.org/10.1097/sih.0000000000000292.

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36

Grobman, William A., Abby Hornbogen, Carol Burke, and Robert Costello. "Development and Implementation of a Team-Centered Shoulder Dystocia Protocol." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 5, no. 4 (2010): 199–203. http://dx.doi.org/10.1097/sih.0b013e3181da5caa.

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37

Moeslund, Thomas B., Claus B. Madsen, and Erik Granum. "Modelling the 3D pose of a human arm and the shoulder complex utilising only two parameters." Integrated Computer-Aided Engineering 12, no. 2 (2005): 159–75. http://dx.doi.org/10.3233/ica-2005-12203.

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38

Trujillo, F. J., and Q. T. Pham. "Modelling the chilling of the leg, loin and shoulder of beef carcasses using an evolutionary method." International Journal of Refrigeration 26, no. 2 (2003): 224–31. http://dx.doi.org/10.1016/s0140-7007(02)00036-1.

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39

Jurkojć, Jacek, Robert Michnik, and Krzysztof Czapla. "Mathematical modelling as a tool to assessment of loads in volleyball player’s shoulder joint during spike." Journal of Sports Sciences 35, no. 12 (2016): 1179–86. http://dx.doi.org/10.1080/02640414.2016.1214284.

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40

Engin, A. E., and S. T. Tu¨mer. "Three-Dimensional Kinematic Modelling of the Human Shoulder Complex—Part I: Physical Model and Determination of Joint Sinus Cones." Journal of Biomechanical Engineering 111, no. 2 (1989): 107–12. http://dx.doi.org/10.1115/1.3168351.

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Modelling of the human shoulder complex is essential for the multi-segmented mathematical models as well as design of the shoulder mechanism of anthropometric dummies. In Part I of this paper a three-dimensional kinematic model is proposed by utilizing the concepts of kinematic links, joints, and joint sinuses. By assigning appropriate coordinate systems, parameters required for complete quantitative description of the proposed model are identified. The statistical in-vivo data base established by Engin and Chen (1986) is cast in a form compatible with the model by obtaining a set of unit vect

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41

Yapp, Liam Z., Jamie A. Nicholson, Charlotte McCallum, Deborah J. Macdonald, and C. Michael Robinson. "Latarjet as a primary and revision procedure for anterior shoulder instability – A comparative study of survivorship, complications and functional outcomes in the medium to long-term." Shoulder & Elbow 12, no. 5 (2019): 338–48. http://dx.doi.org/10.1177/1758573219864926.

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Background This retrospective study aims to compare the outcome of the Latarjet procedure when used as a primary or revision procedure for recurrent anterior gleno-humeral instability. Methods One hundred and ninety-seven patients underwent 205 open Latarjet procedures during the period 2006–2015 (mean follow-up 5.6 years). Sixty shoulders had failure of a previous stabilisation requiring revision to the Latarjet procedure. Outcomes were measured using the Western Ontario Shoulder Instability Index and Quick Disabilities of the Arm, Shoulder and Hand score. Survival analyses were performed usi

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42

Niyetkaliyev, Aibek S., Shahid Hussain, Prashant K. Jamwal, and Gursel Alici. "Modelling of the human shoulder girdle as a 6-4 parallel mechanism with a moving scapulothoracic joint." Mechanism and Machine Theory 118 (December 2017): 219–30. http://dx.doi.org/10.1016/j.mechmachtheory.2017.08.010.

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43

Zheng, Manxu, Zhenmin Zou, Paulo jorge Da silva Bartolo, Chris Peach, and Lei Ren. "Finite element models of the human shoulder complex: a review of their clinical implications and modelling techniques." International Journal for Numerical Methods in Biomedical Engineering 33, no. 2 (2016): e02777. http://dx.doi.org/10.1002/cnm.2777.

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44

Ingoe, Helen M., Philip Holland, Paul Cowling, Lucksy Kottam, Paul N. Baker, and Amar Rangan. "Intraoperative complications during revision shoulder arthroplasty: a study using the National Joint Registry dataset." Shoulder & Elbow 9, no. 2 (2017): 92–99. http://dx.doi.org/10.1177/1758573216685706.

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Background The surgical options for revision shoulder arthroplasty and the number of procedures performed are increasing. However, little is known about the risk factors for intraoperative complications associated with this complex surgery. Methods The National Joint Registry (NJR) is a surgeon reported database recording information on major joint replacements including revision shoulder arthroplasty. Using multivariable binary logistic regression modelling, we analyzed 1445 revision shoulder arthroplasties reported to the NJR between April 2012 and 2015. Results The risk of developing a comp

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45

Cardillo, Daniela, Antonio Bevilacqua, Francesca Cibelli, Clelia Altieri, and Milena Sinigaglia. "Modelling the Survival ofEscherichia coliO157:H7 on Raw Portioned Tomatoes, Inoculated withAspergillus fumigatusandEmericella nidulans." Journal of Biomedicine and Biotechnology 2009 (2009): 1–7. http://dx.doi.org/10.1155/2009/184130.

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The metabiotic interactions occurring among two fungi (Aspergillus fumigatusandEmericella nidulans) andEscherichia coliO157:H7 on raw portioned tomatoes were studied. Tomatoes, preinoculated with the moulds and inoculated with the pathogen, were packaged in air and stored at 4, 8 and 12C∘for 9 days; pathogen cell number and pH were monitored throughout the storage and the data were modeled using three different equations (Geeraerd, Weibull, and modified Weibull), to assess the shoulder length, the 1-log reduction time, and the death time. BothA. fumigatusandE. nidulansincreased the survival of

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46

Ingrassia, Tommaso, Lorenzo Nalbone, Vincenzo Nigrelli, Vito Ricotta, and Domenico Pisciotta. "Biomechanical analysis of the humeral tray positioning in reverse shoulder arthroplasty design." International Journal on Interactive Design and Manufacturing (IJIDeM) 12, no. 2 (2017): 651–61. http://dx.doi.org/10.1007/s12008-017-0418-8.

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47

Ji, Zhongqiu, Huihui Wang, Guiping Jiang, and Lin Li. "Analysis of Muscle Activity Utilizing Bench Presses in the AnyBody Simulation Modelling System." Modelling and Simulation in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/3649478.

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Using the AnyBody human modeling system with identical weights and varying grip distance (40.0 cm, 50.0 cm, and 60.0 cm), the stress distribution for the pectoralis and the muscle of upper extremity during a bench press was simulated, and the surface myoelectricity (EMG) method was validated.Methods.The physical parameters driving the model of the human body were selected as weights of 35.0% (25.0 kg) and grip distances.Conclusion.The validation of AnyBody software was proved as a high validity by using EMG test of four muscles’ activity compared to AnyBody software. During a bench press, the

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48

Allen, Robert, Tara Johnson, Vanessa Lapointe, and Edith Gurewitsch. "Effect of Cardinal Movements on Fetal Mechanical Response During Simulated Shoulder Dystocia Deliveries." Simulation In Healthcare: The Journal of the Society for Simulation in Healthcare 2, no. 1 (2007): 77. http://dx.doi.org/10.1097/01266021-200700210-00072.

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49

Wilson, Louise, Jonathon Ash, Jo Crofts, Thabani Sibanda, and Tim Draycott. "Does training reduce the incidence of fetal injury in cases of shoulder dystocia?" Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 1, no. 3 (2006): 185. http://dx.doi.org/10.1097/01266021-200600130-00026.

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50

Santos, Ricardo, Giselle Coelho, Marcos Lyra, Saulo Santos, and Glaydson Godinho. "Board 536 - Technology Innovations Abstract Anatomical Shoulder Simulator for Arthroscopy Training (Submission #831)." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 8, no. 6 (2013): 627. http://dx.doi.org/10.1097/01.sih.0000441734.56793.63.

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