diff --git a/README.md b/README.md index 7f59f01..e0e267f 100755 --- a/README.md +++ b/README.md @@ -1,78 +1,79 @@ # EPFL upper limb musculoskeletal model This upper limb musculoskeletal model was developed at the EPFL by David Ingram and Ehsan Sarshari. It is implemented in Matlab. The details are explained in README files within each of the following subfolders. ## Getting Started The following instructions will get you a copy of the project locally. * Clone the repository locally * Start matlab and set path one of the model's directorie (see below). ## Description of the model ShoulderModel This folder contains the musculoskeletal model of the human shoulder and elbow that can replicate healthy subjects and patients with osteoarthritis. ## Authors * David Ingram (EPFL-LA) * Development of the 1st version of the model, during his PhD thesis. * https://infoscience.epfl.ch/record/204692 * Ehsan Sarshari (EPFL-LA/LBO) * Development of the 2nd version of the model, during his PhD thesis. * https://infoscience.epfl.ch/record/256396 ## Contributors * Christoph Engelhardt (EPFL-LBO): Performed anatomical measurements on MRI of healthy volunteer. * Yasmine Boulanaache (EPFL-LBO): Performed anatomical measurements on MRI of healthy volunteer. * Matteo Mancuso (EPFL-LMAM): Performed kinematics and EMG measurements on healthy volunteer. * Fabio Becche (CHUV-RAD): set MRI protocols to build generic model from volunteer * Alain Farron (CHUV-OTR): clinical supervision * Alexandre Terrier (EPFL-LBO): biomechanical supervision * Philippe Mullhaupt (EPFL-LA): PhDs' supervision ## Bibliography These models are described in the following journal articles. +* Sarshari E, Boulanaache Y, Terrier A, Farron A, Mullhaupt P, Pioletti D. A Matlab toolbox for scaled-generic modeling of shoulder and elbow. Sci Rep. 2021 Dec;11(1):20806. DOI: https://doi.org/10.1038/s41598-021-99856-y * Sarshari, E., Mancuso, M., Terrier, A., Farron, A., Mullhaupt, P., Pioletti, D., 2020. Muscle co-contraction in an upper limb musculoskeletal model: EMG-assisted vs. standard load-sharing. Computer Methods in Biomechanics and Biomedical Engineering 1–14. DOI: https://doi.org/10.1080/10255842.2020.1814755 * Sarshari, E., Mancuso, M., Terrier, A., Farron, A., Mullhaupt, P., Pioletti, D., 2020. Feasibility of an alternative method to estimate glenohumeral joint center from videogrammetry measurements and CT/MRI of patients. Computer Methods in Biomechanics and Biomedical Engineering 1–10. DOI: https://doi.org/10.1080/10255842.2020.1808889 * Sarshari, E., Farron, A., Terrier, A., Pioletti, D., Mullhaupt, P. A simulation framework for humeral head translations (2017) Medical Engineering and Physics, 49, pp. 140-147. DOI: 10.1016/j.medengphy.2017.08.013 * Engelhardt, C., Farron, A., Becce, F., Place, N., Pioletti, D.P., Terrier, A. Effects of glenoid inclination and acromion index on humeral head translation and glenoid articular cartilage strain (2017) Journal of Shoulder and Elbow Surgery, 26 (1), pp. 157-164. DOI: 10.1016/j.jse.2016.05.031 * Engelhardt, C., Ingram, D., Müllhaupt, P., Farron, A., Becce, F., Pioletti, D., Terrier, A. Effect of partial-thickness tear on loading capacities of the supraspinatus tendon: a finite element analysis (2016) Computer Methods in Biomechanics and Biomedical Engineering, 19 (8), pp. 875-882. DOI: 10.1080/10255842.2015.1075012 * Ingram, D., Engelhardt, C., Farron, A., Terrier, A., Müllhaupt, P. Modelling of the human shoulder as a parallel mechanism without constraints (2016) Mechanism and Machine Theory, 100, pp. 120-137. DOI: 10.1016/j.mechmachtheory.2016.02.004 * Ingram, D., Engelhardt, C., Farron, A., Terrier, A., Müllhaupt, P. Improving anterior deltoid activity in a musculoskeletal shoulder model – an analysis of the torque-feasible space at the sternoclavicular joint (2016) Computer Methods in Biomechanics and Biomedical Engineering, 19 (4), pp. 450-463. DOI: 10.1080/10255842.2015.1042465 * Engelhardt, C., Malfroy Camine, V., Ingram, D., Müllhaupt, P., Farron, A., Pioletti, D., Terrier, A. Comparison of an EMG-based and a stress-based method to predict shoulder muscle forces (2015) Computer Methods in Biomechanics and Biomedical Engineering, 18 (12), pp. 1272-1279. DOI: 10.1080/10255842.2014.899587 * Ingram, D., Engelhardt, C., Farron, A., Terrier, A., Müllhaupt, P. Muscle moment-arms: a key element in muscle-force estimation (2015) Computer Methods in Biomechanics and Biomedical Engineering, 18 (5), pp. 506-513. DOI: 10.1080/10255842.2013.818666 * Ingram, D., Engelhardt, C., Farron, A., Terrier, A., Mullhaupt, P. A minimal set of coordinates for describing humanoid shoulder motion (2013) IEEE International Conference on Intelligent Robots and Systems, art. no. 6697159, pp. 5537-5544. DOI: 10.1109/IROS.2013.6697159 * Terrier, A., Aeberhard, M., Michellod, Y., Mullhaupt, P., Gillet, D., Farron, A., Pioletti, D.P. A musculoskeletal shoulder model based on pseudo-inverse and null-space optimization (2010) Medical Engineering and Physics, 32 (9), pp. 1050-1056. DOI: 10.1016/j.medengphy.2010.07.006 * Aeberhard, M., Michellod, Y., Mullhaupt, P., Terrier, A., Pioletti, D.P., Gillet, D. Dynamical biomechanical model of the shoulder: Null space based optimization of the overactuated system (2008) 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008, art. no. 4912981, pp. 67-73. DOI: 10.1109/ROBIO.2009.4912981 ## License This should be discussed with Technology Transfer office (TTO) of EPFL ## Acknowledgments The project was financially supported by the Swiss National Science Foundation (SNSF) * K-32K1_122512 * CR32I2_143704 * CR32I2_162766 and by the Lausanne Orthopedic Research Foundation (LORF). We thank Julien Ston, former PhD student, the young healthy volunteer who spent hours in the MRI and in the Laboratory of Movement Analysis and Measurements (EPFL-LMAM).