scholarly journals Investigation of lumbar spine biomechanics using global convergence optimization and constant loading path methods

2020 ◽  
Vol 17 (4) ◽  
pp. 2970-2983 ◽  
Author(s):  
Won Man Park ◽  
◽  
Young Joon Kim ◽  
Shaobai Wang ◽  
Yoon Hyuk Kim ◽  
...  
Keyword(s):  
Lumbar Spine ◽  
Global Convergence ◽  
Loading Path ◽  
Spine Biomechanics ◽  
Constant Loading

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

2014 ◽  
Vol 14 (5) ◽  
pp. 789-798 ◽  
Author(s):  
Dean K. Stolworthy ◽  
Shannon A. Zirbel ◽  
Larry L. Howell ◽  
Marina Samuels ◽  
Anton E. Bowden
Keyword(s):  
Lumbar Spine ◽  
Body Temperature ◽  
Spine Biomechanics ◽  
Rate Dependent

scholarly journals Effect of an artificial disc on lumbar spine biomechanics: a probabilistic finite element study

2008 ◽  
Vol 18 (1) ◽  
pp. 89-97 ◽  
Author(s):  
Antonius Rohlmann ◽  
Anke Mann ◽  
Thomas Zander ◽  
Georg Bergmann
Keyword(s):  
Finite Element ◽  
Lumbar Spine ◽  
Spine Biomechanics ◽  
Artificial Disc ◽  
Finite Element Study ◽  
Element Study

Effect of Anulus Fibrosus Repair on Lumbar Spine Biomechanics

2009 ◽  
Author(s):  
S. Kode ◽  
M. Gudipally ◽  
T. Takigawa ◽  
A. A. Espinoza Orías ◽  
R. Natarajan ◽  
...  
Keyword(s):  
United States ◽  
Low Back Pain ◽  
Back Pain ◽  
Lumbar Spine ◽  
Disc Degeneration ◽  
Annual Incidence ◽  
Low Back ◽  
Spine Biomechanics ◽  
Anulus Fibrosus ◽  
Segmental Instability

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].

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

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.

Analyzing the Hysteresis of the Lumbar Spine

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.

Sign in / Sign up

Export Citation Format

Share Document