Prescribing joint co-ordinates during model preparation to improve inverse kinematic estimates of elbow joint angles |
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| Institution: | 1. School of Sport Science, Exercise and Health, The University of Western Australia, Perth, Australia;2. Department of Bioengineering, Stanford University, Stanford, CA, USA;1. Istituto Italiano di Tecnologia, Italy;2. Harvard Medical School, Department of Neurobiology, Warren Alpert Building, room 222, 200 Longwood Avenue, 02115 Boston, MA, USA;1. Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA;2. Division of Materials Science & Engineering, Boston University, Boston, MA 02215, USA;1. University of Illinois at Urbana-Champaign, 1206 W. Green St., Urbana, IL 61801, USA;2. Musculoskeletal Biomechanics Laboratory, Department of Veterans Affairs, Edward Hines Jr. VA Hospital, Hines, IL, USA;3. Departments of Orthopaedic Surgery and Rehabilitation and Radiology, Loyola University Medical Center, Maywood, IL, USA;1. Hugh Williamson Gait Analysis Laboratory, The Royal Children''s Hospital, Melbourne, Australia;2. Murdoch Childrens Research Institute, Melbourne, Australia;3. Department of Mechanical Engineering, The University of Melbourne, Australia;1. Department of Neurology, Ludwig-Maximilians University, Munich, Germany;2. Department of Signal Theory, Networking and Communications, University of Granada, Spain;3. Institute for Systems Engineering and Computers – Technology and Science (INESC TEC), and Faculty of Engineering (FEUP), University of Porto, Porto, Portugal;1. Functional and Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health, Bethesda, MD, USA;2. School of Biomedical Engineering, Colorado State University, Fort Collins, CO, USA;3. Department of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA |
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| Abstract: | To appropriately use inverse kinematic (IK) modelling for the assessment of human motion, a musculoskeletal model must be prepared 1) to match participant segment lengths (scaling) and 2) to align the model׳s virtual markers positions with known, experimentally derived kinematic marker positions (marker registration). The purpose of this study was to investigate whether prescribing joint co-ordinates during the marker registration process (within the modelling framework OpenSim) will improve IK derived elbow kinematics during an overhead sporting task. To test this, the upper limb kinematics of eight cricket bowlers were recorded during two testing sessions, with a different tester each session. The bowling trials were IK modelled twice: once with an upper limb musculoskeletal model prepared with prescribed participant specific co-ordinates during marker registration – MRPC – and once with the same model prepared without prescribed co-ordinates – MR; and by an established direct kinematic (DK) upper limb model. Whilst both skeletal model preparations had strong inter-tester repeatability (MR: Statistical Parametric Mapping (SPM1D)=0% different; MRPC: SPM1D=0% different), when compared with DK model elbow FE waveform estimates, IK estimates using the MRPC model (RMSD=5.2±2.0°, SPM1D=68% different) were in closer agreement than the estimates from the MR model (RMSD=44.5±18.5°, SPM1D=100% different). Results show that prescribing participant specific joint co-ordinates during the marker registration phase of model preparation increases the accuracy and repeatability of IK solutions when modelling overhead sporting tasks in OpenSim. |
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| Keywords: | OpenSim Upper limb modelling Sports biomechanics SPM Cricket |
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