A model-based approach for estimation of changes in lumbar segmental kinematics associated with alterations in trunk muscle forces |
| |
| Institution: | 1. F. Joseph Halcomb III, M.D. Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA;2. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran;3. School of Physics and Astronomy, University of Exeter, Physics Building, Stocker Road, Exeter EX4 4QL, UK;1. Division of Biomechanical Engineering, Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Japan;2. Department of Design Manufacturing, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Malaysia;1. Division of Applied Mechanics, Department of Mechanical Engineering, Ecole Polytechnique, Montréal, Canada;2. Institut de recherche Robert Sauvé en santé et en sécurité du travail, Montréal, Canada;3. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran;1. Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15203, USA;2. Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA 15203, USA;3. Health Effects Lab Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA;4. Mechanical Systems Engineering, EMPA (Swiss Federal Laboratories for Materials Science and Technology), 8600 Duebendorf, Switzerland;5. Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA;6. Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA;1. School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK;2. Institute for Musculoskeletal Research and Clinical Implementation, Anglo-European College of Chiropractic, Bournemouth, UK;3. Faculty of Science and Technology, Bournemouth University, Bournemouth, UK |
| |
| Abstract: | The kinematics information from imaging, if combined with optimization-based biomechanical models, may provide a unique platform for personalized assessment of trunk muscle forces (TMFs). Such a method, however, is feasible only if differences in lumbar spine kinematics due to differences in TMFs can be captured by the current imaging techniques. A finite element model of the spine within an optimization procedure was used to estimate segmental kinematics of lumbar spine associated with five different sets of TMFs. Each set of TMFs was associated with a hypothetical trunk neuromuscular strategy that optimized one aspect of lower back biomechanics. For each set of TMFs, the segmental kinematics of lumbar spine was estimated for a single static trunk flexed posture involving, respectively, 40° and 10° of thoracic and pelvic rotations. Minimum changes in the angular and translational deformations of a motion segment with alterations in TMFs ranged from 0° to 0.7° and 0 mm to 0.04 mm, respectively. Maximum changes in the angular and translational deformations of a motion segment with alterations in TMFs ranged from 2.4° to 7.6° and 0.11 mm to 0.39 mm, respectively. The differences in kinematics of lumbar segments between each combination of two sets of TMFs in 97% of cases for angular deformation and 55% of cases for translational deformation were within the reported accuracy of current imaging techniques. Therefore, it might be possible to use image-based kinematics of lumbar segments along with computational modeling for personalized assessment of TMFs. |
| |
| Keywords: | Trunk muscle forces Finite element analysis Optimization procedures Trunk neuromuscular strategies Lumbar segmental kinematics Image-based modeling |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
