Literature DB >> 15587464

Modelling and simulation of the intervertebral movements of the lumbar spine using an inverse kinematic algorithm.

L W Sun1, R Y W Lee, W Lu, K D K Luk.   

Abstract

An inverse kinematic model is presented that was employed to determine the optimum intervertebral joint configuration for a given forward-bending posture of the human trunk. The lumbar spine was modelled as an open-end, kinematic chain of five links that represented the five vertebrae (L 1-L5). An optimisation equation with physiological constraints was employed to determine the intervertebral joint configuration. Intervertebral movements were measured from sagittal X-ray films of 22 subjects. The mean difference between the X-ray measurements of intervertebral rotations in the sagittal plane and the values predicted by the kinematic model was less than 1.6 degrees. Pearson product-moment correlation R was used to measure the relationship between the measured and predicted values. The R-values were found to be high, ranging from 0.83 to 0.97, for prediction of intervertebral rotation, but poor for intervertebral translation (R= 0.08-0.67). It is concluded that the inverse kinematic model will be clinically useful for predicting intervertebral rotation when X-ray or invasive measurements are undesirable. It will also be useful to biomechanical modelling, which requires accurate kinematic information as model input data.

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Year:  2004        PMID: 15587464     DOI: 10.1007/bf02345206

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  25 in total

1.  Passive moment about the hip in straight leg raising.

Authors:  R Y Lee; J Munn
Journal:  Clin Biomech (Bristol, Avon)       Date:  2000-06       Impact factor: 2.063

2.  Kinematics of rotational mobilisation of the lumbar spine.

Authors:  R Y Lee
Journal:  Clin Biomech (Bristol, Avon)       Date:  2001-07       Impact factor: 2.063

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Authors:  J Dvorák; M M Panjabi; D G Chang; R Theiler; D Grob
Journal:  Spine (Phila Pa 1976)       Date:  1991-05       Impact factor: 3.468

4.  Kinematics of human arm reconstructed from spatial tracking system recordings.

Authors:  E V Biryukova; A Roby-Brami; A A Frolov; M Mokhtari
Journal:  J Biomech       Date:  2000-08       Impact factor: 2.712

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Authors:  R H Brown; A H Burstein; C L Nash; C C Schock
Journal:  J Biomech       Date:  1976       Impact factor: 2.712

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Authors:  S M McGill; R W Norman
Journal:  Spine (Phila Pa 1976)       Date:  1986-09       Impact factor: 3.468

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Authors:  H J Sommer; N R Miller
Journal:  J Biomech Eng       Date:  1980-11       Impact factor: 2.097

8.  Human lumbar vertebrae. Quantitative three-dimensional anatomy.

Authors:  M M Panjabi; V Goel; T Oxland; K Takata; J Duranceau; M Krag; M Price
Journal:  Spine (Phila Pa 1976)       Date:  1992-03       Impact factor: 3.468

9.  New method for the non-invasive three-dimensional measurement of human back movement.

Authors:  M J Pearcy; R J Hindle
Journal:  Clin Biomech (Bristol, Avon)       Date:  1989-05       Impact factor: 2.063

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Authors:  S Suzuki; T Yamamuro; J Shikata; K Shimizu; H Iida
Journal:  J Bone Joint Surg Br       Date:  1989-03
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  1 in total

1.  A new method for determining lumbar spine motion using Bayesian belief network.

Authors:  Heather Ting Ma; Zhengyi Yang; James F Griffith; Ping Chung Leung; Raymond Y W Lee
Journal:  Med Biol Eng Comput       Date:  2008-02-23       Impact factor: 2.602

  1 in total

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