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Muscles force patterns prediction and joint reactions determination during 3D spine movements by means of optimal control theory

Shahvarpour, A ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICCAS.2008.4694700
  3. Publisher: 2008
  4. Abstract:
  5. Modeling the spine behavior plays a key role in understanding mechanisms leading to spinal disorders and injuries. The goal of this article is to develop a new model to obtain 3D spine movement patterns. High degrees of freedom of the system, a great many of muscles involved in the spine movements and its unstable intrinsic behavior make the control problem more difficult. New theories in computational motor control suggest optimal control as a useful tool for modeling Central Nervous System (CNS) to provide appropriate control signals while it computes the neural interactions with biological sensors. Therefore, CNS is modeled as an optimal controller. Our simulations illustrate the movement behavior and muscles force patterns which may be used to relate to the risk of injury in both joints and muscles
  6. Keywords:
  7. Control theory ; Employment ; Intersections ; Three dimensional ; Biological sensors ; Control problems ; Control signals ; Degrees of freedoms ; Intrinsic behaviors ; Joint reaction ; LQR ; Motor controls ; Movement behaviors ; Movement patterns ; Muscles recruitment ; Neural interactions ; New models ; New theories ; Optimal control theories ; Optimal controllers ; Optimal controls ; Spinal disorders ; Spine ; Muscle
  8. Source: 2008 International Conference on Control, Automation and Systems, ICCAS 2008, Seoul, 14 October 2008 through 17 October 2008 ; December , 2008 , Pages 548-553 ; 9788995003893 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4694700