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A novel approach to evaluate abdominal coactivities for optimal spinal stability and compression force in lifting

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  • Z. El Ouaaid
  • N. Arjmand
  • A. Shirazi-Adl
  • M. Parnianpour

Abstract

A novel optimisation algorithm is developed to predict coactivity of abdominal muscles while accounting for both trunk stability via the lowest buckling load (Pcr) and tissue loading via the axial compression (Fc). A nonlinear multi-joint kinematics-driven model of the spine along with the response surface methodology are used to establish empirical expressions for Pcr and Fc as functions of abdominal muscle coactivities and external load magnitude during lifting in upright standing posture. A two-component objective function involving Fc and Pcr is defined. Due to opposite demands, abdominal coactivities that simultaneously maximise Pcr and minimise Fc cannot exist. Optimal solutions are thus identified while striking a compromise between requirements on trunk stability and risk of injury. The oblique muscles are found most efficient as compared with the rectus abdominus. Results indicate that higher abdominal coactivities should be avoided during heavier lifting tasks as they reduce stability margin while increasing spinal loads.

Suggested Citation

  • Z. El Ouaaid & N. Arjmand & A. Shirazi-Adl & M. Parnianpour, 2009. "A novel approach to evaluate abdominal coactivities for optimal spinal stability and compression force in lifting," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(6), pages 735-745.
    • Handle: RePEc:taf:gcmbxx:v:12:y:2009:i:6:p:735-745
    DOI: 10.1080/10255840902896018
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    1. N. Arjmand & A. Shirazi-Adl & M. Parnianpour, 2008. "Relative efficiency of abdominal muscles in spine stability," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(3), pages 291-299.
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    1. Z. El Ouaaid & A. Shirazi-Adl & N. Arjmand & A. Plamondon, 2013. "Coupled objective function to study the role of abdominal muscle forces in lifting using the kinematics-driven model," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(1), pages 54-65.

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