Characterization and prediction of rate-dependent flexibility in lumbar spine biomechanics at room and body temperature

Low back pain is sometimes related to, but not necessarily caused by, anulus fibrosus (AF) ruptures. Studies on low back pain have estimated an annual incidence of 5% and prevalence of 15% to 20% in United States alone [1]. Disc degeneration with or without herniation is frequently implicated in low back pain and sciatica, and is believed to be associated with segmental instability of the spine [2].

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Automatic Generation of Virtual Lumbar Motion Segments for Population-Based Simulation of Lumbar Spine Biomechanics

ASME 2010 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2010-19632 ◽

2010 ◽

Author(s):

Kelli S. Huls ◽

Anthony J. Petrella

Keyword(s):

Lumbar Spine ◽

Soft Tissues ◽

Automatic Generation ◽

Population Based ◽

Single Subject ◽

Normal Variation ◽

Spine Biomechanics ◽

Automated Generation ◽

Probabilistic Simulation ◽

Lumbar Motion

Computational modeling of the spine has become a viable option for evaluating new implants and procedures. Most models described in the literature, however, represent only a single subject and neglect the normal variation that exists among specimens. A probabilistic simulation comprised of virtual specimens representing a broad population of subjects can address this limitation and be used to evaluate implants or procedures pre-clinically. Challenges exist to applying probabilistic modeling techniques to biologic systems, and perhaps the greatest is parameterization of the anatomy to capture normal variation in shape from specimen to specimen. It’s also critical to implement soft tissues in a robust, automated manner that produces representative biomechanics. The purpose of our research is to overcome these challenges and develop a probabilistic framework to perform population-based studies of lumbar spine biomechanics. This paper describes our results to date for the automated generation of virtual lumbar motion segments.

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Combination of finite element modeling and optimization for the study of lumbar spine biomechanics considering the 3D thorax–pelvis orientation

Medical Engineering & Physics ◽

10.1016/s1350-4533(03)00128-0 ◽

2004 ◽

Vol 26 (1) ◽

pp. 11-22 ◽

Cited By ~ 29

Author(s):

Francisco Ezquerro ◽

Antonio Simón ◽

María Prado ◽

Ana Pérez

Keyword(s):

Finite Element ◽

Lumbar Spine ◽

Finite Element Modeling ◽

Spine Biomechanics ◽

Modeling And Optimization ◽

Element Modeling

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Analyzing the Hysteresis of the Lumbar Spine

ASME 2012 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2012-80325 ◽

2012 ◽

Author(s):

Andrew D. Hanlon ◽

Daniel J. Cook ◽

Matthew S. Yeager ◽

Boyle C. Cheng

Keyword(s):

Data Analysis ◽

Lumbar Spine ◽

Range Of Motion ◽

Spine Biomechanics ◽

The Third ◽

Continuous Testing ◽

Motion Segment ◽

Testing Protocols ◽

Made In

Significant advances have been made in the field of spine biomechanics with the introduction of continuous testing machines and new testing protocols. [1] Despite all the technological achievements, range of motion (RoM) continues to be the only widely agreed upon, standardized metric for data analysis. In load-controlled flexibility testing, displacement is typically recorded over three loading cycles between established limits in specific modes of loading. The first two cycles are intended for preconditioning, and the data from the third cycle is used for analysis. [2] Plotting displacement versus load defines the hysteresis inherent to the motion segment.

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New model of lumbar spine biomechanics with the use of simulation analysis

MATEC Web of Conferences ◽

10.1051/matecconf/201925402031 ◽

2019 ◽

Vol 254 ◽

pp. 02031

Author(s):

Łukasz Kubaszewski ◽

Mikołaj Dąbrowski ◽

Krzysztof Talaśka ◽

Dominik Wilczyński

Keyword(s):

Lumbar Spine ◽

Load Transfer ◽

Simulation Analysis ◽

Kinematic Model ◽

Spine Biomechanics ◽

Paraspinal Muscles ◽

Scientific Software ◽

Biomechanical Models ◽

The Impact

The existing biomechanical models of the lumbo-sacral spine do not explain the role of the dorsal extensor muscle and fascia. The study attempts to explain the action of paraspinal muscles based on the mechanism of contraction and “hydro skeleton”. It was assumed that the muscle contracting produces hydrostatic pressure and in this way is able to resist and transfer loads. In this mechanism, inside ventricular pressure can modify the load transfer through the spine. To confirm the hypothesis discussed above, a simplified simulation model of the lumbar spine was built. For this purpose, scientific software named ABAQUS, using finite element methods was used. The model of the spine was mainly a kinematic model aimed at reflecting the impact of the spinal muscle function on lumbar lordosis.

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