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- Publisher Website: 10.1007/BF02345206
- Scopus: eid_2-s2.0-10244222913
- PMID: 15587464
- WOS: WOS:000225543500002
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Article: Modelling and simulation of the intervertebral movements of the lumbar spine using an inverse kinematic algorithm
Title | Modelling and simulation of the intervertebral movements of the lumbar spine using an inverse kinematic algorithm |
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Authors | |
Keywords | Intervertebral motion Inverse kinematics Lumbar spine Optimisation |
Issue Date | 2004 |
Publisher | Springer Verlag. The Journal's web site is located at http://www.springer.com/sgw/cda/frontpage/0,11855,4-40109-70-67951916-0,00.html?changeHeader=true |
Citation | Medical And Biological Engineering And Computing, 2004, v. 42 n. 6, p. 740-746 How to Cite? |
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 (L1-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°. 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. © IFMBE: 2004. |
Persistent Identifier | http://hdl.handle.net/10722/170057 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 0.641 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Sun, LW | en_US |
dc.contributor.author | Lee, RYW | en_US |
dc.contributor.author | Lu, W | en_US |
dc.contributor.author | Luk, KDK | en_US |
dc.date.accessioned | 2012-10-30T06:05:03Z | - |
dc.date.available | 2012-10-30T06:05:03Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.citation | Medical And Biological Engineering And Computing, 2004, v. 42 n. 6, p. 740-746 | en_US |
dc.identifier.issn | 0140-0118 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/170057 | - |
dc.description.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 (L1-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°. 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. © IFMBE: 2004. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://www.springer.com/sgw/cda/frontpage/0,11855,4-40109-70-67951916-0,00.html?changeHeader=true | en_US |
dc.relation.ispartof | Medical and Biological Engineering and Computing | en_US |
dc.subject | Intervertebral motion | - |
dc.subject | Inverse kinematics | - |
dc.subject | Lumbar spine | - |
dc.subject | Optimisation | - |
dc.subject.mesh | Algorithms | en_US |
dc.subject.mesh | Biomechanics | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Joints - Physiology | en_US |
dc.subject.mesh | Lumbar Vertebrae - Physiology - Radiography | en_US |
dc.subject.mesh | Mathematics | en_US |
dc.subject.mesh | Models, Biological | en_US |
dc.subject.mesh | Movement - Physiology | en_US |
dc.subject.mesh | Posture - Physiology | en_US |
dc.subject.mesh | Robotics | en_US |
dc.subject.mesh | Rotation | en_US |
dc.title | Modelling and simulation of the intervertebral movements of the lumbar spine using an inverse kinematic algorithm | en_US |
dc.type | Article | en_US |
dc.identifier.email | Lu, W:wwlu@hku.hk | en_US |
dc.identifier.email | Luk, KDK:hcm21000@hku.hk | en_US |
dc.identifier.authority | Lu, W=rp00411 | en_US |
dc.identifier.authority | Luk, KDK=rp00333 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1007/BF02345206 | en_US |
dc.identifier.pmid | 15587464 | - |
dc.identifier.scopus | eid_2-s2.0-10244222913 | en_US |
dc.identifier.hkuros | 114394 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-10244222913&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 42 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.spage | 740 | en_US |
dc.identifier.epage | 746 | en_US |
dc.identifier.isi | WOS:000225543500002 | - |
dc.publisher.place | Germany | en_US |
dc.identifier.scopusauthorid | Sun, LW=15843979400 | en_US |
dc.identifier.scopusauthorid | Lee, RYW=7408203270 | en_US |
dc.identifier.scopusauthorid | Lu, W=7404215221 | en_US |
dc.identifier.scopusauthorid | Luk, KDK=7201921573 | en_US |
dc.identifier.issnl | 0140-0118 | - |