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A Hyrid EMG-optimization Based Model of the Lumbar Spine to Estimate Muscle Forces in Different Tasks

Mohammadi, Yousef | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46202 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Arjmand, Navid
  7. Abstract:
  8. Low back pains (LBP) are prevalent and costly. One of the important factors causing LBP is excessive axial compression and shear forces that are applied on the intervertebral discs during different activities. Due to lack of direct in vivo measurement methods for estimating these loads, musculoskeletal biomechanical models have been emerged as indispensable tools under various activities. Different biomechanical models have been suggested to estimate muscle forces and spinal loads base on optimization, EMG and hybrid (EMG assisted optimization, EMGAO) methods. Although there have been a number of studies on the differences between various optimization and EMG-based methods, there has been no work on the possible differences between different EMGAO methods. For this purpose, a six-joint, eighteen degrees of freedom model with 76 trunk muscle fascicles was developed. Different hybrid methods were used to estimate muscle forces and spinal loads during various activities in upright and flexed postures. Despite identical inputs used in all methods, computed outcomes clearly differed between different hybrid methods. Contrary to somewhat similar external moments as well as comparable compression forces at L5-S1 joint, all of the methods recruited trunk global and local lumbar muscles in different activities
  9. Keywords:
  10. Spine ; Optimization ; Hybrid Methods ; Modeling ; Equilibrium ; Stability ; Electromyography ; MUSCLES

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