Literature DB >> 19458972

Kinematics of the lumbar spine in elderly subjects with decreased bone mineral density.

Heather Ting Ma1, James F Griffith, Zhengyi Yang, Anthony Wai Leung Kwok, Ping Chung Leung, Raymond Y W Lee.   

Abstract

Lumbar spine kinematics was studied in subjects with normal bone mineral density, osteopenia and osteoporosis to determine the effect of bone mineral density and morphology on the flexion-extension movement patterns of the lumbar spine. Lateral radiographs and skin-mounted electromagnetic motion tracking sensors were employed to study lumbar spine kinematics using a Bayesian Belief Network model. The predicted angular displacement of the vertebrae had a high correlation (r = 0.91, p < 0.001) with the actual movements. The overall mean error was -0.51 degrees +/- 3.11 degrees. Intervertebral angular displacement and velocity consistently increased from L1/L2 to L5/S1. Differences were observed in the movement pattern between normal subjects and those with decreased bone density. In normal subjects, vertebral angular acceleration consistently decreased from the upper to the lower vertebrae but the same consistent predictable pattern was not observed in the subjects with decreased bone mineral density. It is possible that these changes in kinematic behaviours are related to morphological changes as well as altered neuromuscular functions.

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Year:  2009        PMID: 19458972     DOI: 10.1007/s11517-009-0493-5

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


  29 in total

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4.  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

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

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Journal:  Clin Biomech (Bristol, Avon)       Date:  1989-05       Impact factor: 2.063

Review 10.  Human aging, muscle mass, and fiber type composition.

Authors:  J Lexell
Journal:  J Gerontol A Biol Sci Med Sci       Date:  1995-11       Impact factor: 6.053

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  2 in total

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Journal:  Med Biol Eng Comput       Date:  2010-05-04       Impact factor: 2.602

2.  Using a Bayesian Network to Predict L5/S1 Spinal Compression Force from Posture, Hand Load, Anthropometry, and Disc Injury Status.

Authors:  Richard E Hughes
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  2 in total

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