A reduced muscle model and planar musculoskeletal model fit for the simulation of whole-body movements |
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| Institution: | 1. Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;1. Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, LBMC UMR_T9406, LBMC, F69622 Lyon, France;2. Moveck Solution Inc., Québec, Canada;3. Willy Taillard Laboratory of Kinesiology, University Geneva Hospitals and Geneva University, Geneva, Switzerland;4. Laboratoire de Recherche en Imagerie et Orthopédie, Centre de Recherche du CHUM, Canada;5. Département de génie des systèmes, École de Technologie Supérieure, Montréal, Canada;1. Department of Mechanical Engineering, Cleveland State University, USA;2. Biorobotics Laboratory, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland;3. Machine Learning and Data Analytics Lab, Faculty of Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany;1. Medical Device Research Institute, School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, Australia;2. North West Academic Centre, The University of Melbourne, St Albans, Australia;3. Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, IL, USA;4. Department of Mechanical Engineering, University of Melbourne, Parkville, Australia;1. University of Denver, Department of Mechanical and Materials Engineering, Denver, CO, United States;2. University of Colorado Denver, Department of Physical Medicine & Rehabilitation, Aurora, CO, United States;3. VA Eastern Colorado Health Care System, Geriatric Research Education and Clinical Center, Aurora, CO, United States;4. Colorado School of Mines, Department of Mechanical Engineering, Golden, CO, United States;1. School of Mechanical, Materials, Mechatronic & Biomedical Engineering, University of Wollongong, NSW 2522, Australia;2. Optimization, Robotics & Biomechanics, Institute of Computer Engineering, Heidelberg University, Germany;3. Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands |
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| Abstract: | Musculoskeletal models are made to reflect the capacities of the human body in general, and often a specific subject in particular. It remains challenging to both model the musculoskeletal system and then fit the modelled muscles to a specific human subject. We present a reduced muscle model, a planar musculoskeletal model, and a fitting method that can be used to find a feasible set of active and passive muscle parameters for a specific subject. At a minimum, the fitting method requires inverse dynamics data of the subject, a scalar estimate of the peak activation reached during the movement, and a plausible initial estimate for the strength and flexibility of that subject. While additional data can be used to result in a more accurate fit, this data is not required for the method solve for a feasible fit. The minimal input requirements of the proposed fitting method make it well suited for subjects who cannot undergo a maximum voluntary contraction trial, or for whom recording electromyographic data is not possible. To evaluate the model and fitting method we adjust the musculoskeletal model so that it can perform an experimentally recorded stoop-lift of a 15 kg box. |
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| Keywords: | Optimization Muscle Muscle-torque-generator Muscle-fitting Whole-body movement |
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