Submaximal electromyography-driven musculoskeletal modeling of the human trunk during static tasks: Equilibrium and stability analyses |
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| Institution: | 1. Division of Applied Mechanics, Department of Mechanical Engineering, Polytechnique Montréal, Canada;2. Department of Physical Activity Sciences, University of Sherbrooke, Canada;3. Institut de recherche Robert Sauvé en santé et en sécurité du travail, Montréal, Canada;4. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran;5. Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM), Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l’Ile-de-Montréal (CCSMTL), Canada;1. J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, USA;2. Department of Physical Therapy, University of Florida, Gainesville, USA;3. Department of Orthopaedic Surgery & Sports Medicine, University of Florida, Gainesville, USA;4. Department of Anesthesiology, University of Florida, Gainesville, USA;1. Department of Biomedical Engineering, Newark College of Engineering, New Jersey Institute of Technology, Newark, NJ, United States;2. Shirley Ryan AbilityLab (formerly the Rehabilitation Institute of Chicago), Chicago, IL, United States;3. Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States;1. INRIA, Montpellier University, Montpellier, France;2. Neurinnov, Montpellier, France;1. Department of Physical Medicine and Rehabilitation, Bezmialem Vakıf University, İstanbul, Turkey;2. Department of Biostatistics and Medical Informatics, Bezmialem Vakıf University, İstanbul, Turkey;1. Faculty of Kinesiology & Physical Education, University of Toronto, Toronto, ON, Canada;2. Department of Kinesiology & Health Sciences, University of Waterloo, Waterloo, ON, Canada;3. Division of Research and Innovation, Canadian Memorial Chiropractic College, Toronto, ON, Canada |
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| Abstract: | Conventional electromyography-driven (EMG) musculoskeletal models are calibrated during maximum voluntary contraction (MVC) tasks, but individuals with low back pain cannot perform unbiased MVCs. To address this issue, EMG-driven models can be calibrated in submaximal tasks. However, the effects of maximal (when data points include the maximum contraction) and submaximal calibration techniques on model outputs (e.g., muscle forces, spinal loads) remain yet unknown. We calibrated a subject-specific EMG-driven model, using maximal/submaximal isometric contractions, and simulated different independent tasks. Both approaches satisfactorily predicted external moments (Pearson’s correlation ∼ 0.75; relative error = 44%), and removing calibration tasks under axial torques markedly improved the model performance (Pearson’s correlation ∼ 0.92; relative error ∼ 28%). Unlike individual muscle forces, gross (aggregate) model outputs (i.e., spinal loads, stability index, and sum of abdominal/back muscle forces) estimated from maximal and submaximal calibration techniques were highly correlated (r > 0.78). Submaximal calibration method overestimated spinal loads (6% in average) and abdominal muscle forces (11% in average). Individual muscle forces estimated from maximal and submaximal approaches were substantially different; however, gross model outputs (especially internal loads and stability index) remained highly correlated with small to moderate relative differences; therefore, the submaximal calibration technique can be considered as an alternative to the conventional maximal calibration approach. |
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| Keywords: | Musculoskeletal modeling Electromyography Model calibration Spine biomechanics Back pain |
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