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contributor authorColtoff, Emma C.
contributor authorHezrony, Benjamin S.
contributor authorMarcet, Paul A.
contributor authorWilson, Jonathan L.
contributor authorBrown, Philip J.
date accessioned2025-08-20T09:27:23Z
date available2025-08-20T09:27:23Z
date copyright3/14/2025 12:00:00 AM
date issued2025
identifier issn2572-7958
identifier otherjesmdt_008_04_041107.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4308308
description abstractThe biomechanics of the spine are naturally multiplanar, but their experimental characterization remains primarily conducted in pure moment bending in anatomical planes: Flexion-Extension (FE) in the sagittal plane, Lateral Bending (LB) in the coronal plane, and Axial Rotation (AR) in the transverse plane. This leaves the biomechanical behavior between anatomical planes under-characterized. Computational tools for evaluating spinal implants and surgical treatments, like finite element models, are validated by comparison to experimental spinal loading. Thus, they are only able to represent spine behavior that is characterized through testing. A novel testing protocol was developed using a six-axis industrial robot to apply multiplanar experimental loading trajectories to characterize the spine's multiplanar behavior. One postmortem cervical spinal specimen was loaded in combined FE and LB bending about the craniocaudal axis, capturing its multidimensional stiffness behavior at several hundred unique joint kinematic “poses” throughout the spine's physiologic range of motion. The multiplanar trajectories are designed to enable parameterization of spinal stiffness behavior at each pose to the joint kinematic pathway taken to achieve the pose. Visualizing the multiplanar behavior of the spine also reveals spinal movement patterns that are not visible in planar bending alone. This method has elucidated that spinal stiffness under multiplanar loading cannot be inferred exclusively from behavior in planar loading, and that directionality of spinal loading has an impact on stiffness behavior. This information can be incorporated into finite element models and other tools for more robust predictions for spinal health.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Novel Methodology for Improving Understanding of the Multiplanar Kinematics of the Human Cervical Spine
typeJournal Paper
journal volume8
journal issue4
journal titleJournal of Engineering and Science in Medical Diagnostics and Therapy
identifier doi10.1115/1.4067767
journal fristpage41107-1
journal lastpage41107-11
page11
treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2025:;volume( 008 ):;issue: 004
contenttypeFulltext


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