Musculoskeletal model-based control strategy of an over-actuated glenohumeral simulator to assess joint biomechanics-Reference-Cited by-同舟云学术

Musculoskeletal model-based control strategy of an over-actuated glenohumeral simulator to assess joint biomechanics

Published:2023-07-01 Issue:7 Volume:71 Page:505-514
ISSN:0178-2312
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Genter Jeremy¹²³,Rauter Georg⁴,Müller Andreas M.²,Mündermann Annegret²³⁵,Baumgartner Daniel¹

Affiliation:

1. IMES Institute of Mechanical Systems, Zürich University of Applied Sciences ZHAW , Winterthur , Switzerland

2. Department of Orthopaedics and Traumatology , University Hospital Basel , Basel , Switzerland

3. Functional Biomechanics Research Group, Department of Biomedical Engineering , University of Basel , Basel , Switzerland

4. Bio-Inspired RObots for MEDicine Laboratory (BIROMED-Lab), Department of Biomedical Engineering , University of Basel , Basel , Switzerland

5. Department of Clinical Research , University of Basel , Basel , Switzerland

Abstract

Abstract Determining the acting shoulder and muscle forces in vivo is very complex. In this study, we developed a control strategy for a glenohumeral simulator for ex vivo experiments that can mimic physiological glenohumeral motion and overcome the problem of over-actuation. The system includes ten muscle portions actuated via cables to induce upper arm motion in three degrees of freedom, including scapula rotation. A real-time optimizer was implemented to handle the over-actuation of the glenohumeral joint while ensuring a minimum of muscle tension. The functionality of the real-time optimizer was also used to simulate different extents of rotator cuff tears. Joint reaction forces were consistent with in vivo measurements. These results demonstrate the feasibility and added value of implementing a real-time optimizer for using in vivo data to drive a shoulder simulator.

Funder

Swiss National Science Funds

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

https://www.degruyter.com/document/doi/10.1515/auto-2023-0064/pdf

Reference30 articles.

1. H. E. Veeger and F. C. van der Helm, “Shoulder function: the perfect compromise between mobility and stability,” J. Biomech., vol. 40, no. 10, pp. 2119–2129, 2007. https://doi.org/10.1016/j.jbiomech.2006.10.016.

2. R. Lugo, P. Kung, and C. B. Ma, “Shoulder biomechanics,” Eur. J. Radiol., vol. 68, no. 1, pp. 16–24, 2008. https://doi.org/10.1016/j.ejrad.2008.02.051.

3. J. Lewis, “Rotator cuff related shoulder pain: assessment, management and uncertainties,” Man. Ther., vol. 23, pp. 57–68, 2016. https://doi.org/10.1016/j.math.2016.03.009.

4. S. Lippitt and F. Matsen, “Mechanisms of glenohumeral joint stability,” Clin. Orthop. Relat. Res., vol. 291, no. 291, pp. 20–28, 1993. https://doi.org/10.1097/00003086-199306000-00004.

5. F. Billuart, L. Devun, W. Skalli, D. Mitton, and O. Gagey, “Role of deltoid and passives elements in stabilization during abduction motion (0 degrees-40 degrees): an ex vivo study,” Surg. Radiol. Anat., vol. 30, no. 7, pp. 563–568, 2008. https://doi.org/10.1007/s00276-008-0374-x.