A Bayesian network dynamic model was developed to determine the kinematics of the intervertebral joints of the lumbar spine. Radiographic images in flexion ...
Feb 23, 2008 · A Bayesian network dynamic model was developed to determine the kinematics of the intervertebral joints of the lumbar spine.
A Bayesian network dynamic model was developed to determine the kinematics of the intervertebral joints of the lumbar spine. Radiographic images in flexion ...
Radiographic, electro-optical, electromagnetic and miniature inertial sensing systems have been used in the measurement of lumbar spine motion with some success ...
A new method for determining lumbar spine motion using Bayesian belief network. https://doi.org/10.1007/s11517-008-0318-y ·.
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Apr 25, 2024 · A new method for determining lumbar spine motion using Bayesian belief network. Medical Biol. Eng. Comput. 46(4): 333-340 (2008). [+] ...
Sep 28, 2023 · The present work implemented a novel marker set used with an optical motion capture system to non-invasively measure dynamic, 3D in vivo segmental kinematics ...
[PDF] Generalizable Methods for Modeling Lumbar Spine Kinematics
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A new method for determining lumbar spine motion using. Bayesian belief network. Medical & biological engineering & computing, 46(4), pp.333–40. Maintz ...
A new method for determining lumbar spine motion using Bayesian belief network · In vivo intersegmental motion of the cervical spine using an inverse kinematics ...
Oct 3, 2023 · We aimed to improve SSP identification by constructing and validating a decision support tool using a Bayesian network (BN), which is an artificial ...
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