ATTENTION: The software behind KU ScholarWorks is being upgraded to a new version. Starting July 15th, users will not be able to log in to the system, add items, nor make any changes until the new version is in place at the end of July. Searching for articles and opening files will continue to work while the system is being updated. If you have any questions, please contact Marianne Reed at mreed@ku.edu .

Show simple item record

dc.contributor.advisorWilson, Sara E.
dc.contributor.authorJardon, Valerie
dc.date.accessioned2022-10-18T21:13:39Z
dc.date.available2022-10-18T21:13:39Z
dc.date.issued2022-05-31
dc.date.submitted2022
dc.identifier.otherhttp://dissertations.umi.com/ku:18392
dc.identifier.urihttp://hdl.handle.net/1808/33607
dc.description.abstractLow back pain and injuries are prevalent and costly musculoskeletal conditions in our society, afflicting most Americans at some point throughout their lifetime. In an effort to develop effective treatment and rehabilitation methods, researchers have continued in their investigation of the potential risk factors and causes of low back pain through use of spine models and experimental data collection. The focus of this work is the development and utilization of an 18 degree-of-freedom stability-based trunk model with 90 muscle fascicles, reflexes, and a lumped parameter intervertebral disc model to explore the potential impacts stiffness gain magnitude and lumbar lordosis angle have on the model’s predictions for stability. Throughout the development of this model, a thorough verification procedure was utilized to minimize errors. It was determined that as stiffness gain in the short-range muscle stiffness model increased from 0.9 to 40, the magnitude of the required metabolic power and muscle force to stabilize the system decreased. Above stiffness gains with a magnitude of 20, increasing the stiffness gains had little impact on the required metabolic power and muscle force. Additionally, for a stiffness gain of 0.5, the model predicted instability whereas all stiffness gains greater than or equal to 0.9 resulted in a stabilized system. It is evident that stiffness gain has the ability to influence model predictions, including the required metabolic power and muscle force. In our investigation with lumbar lordosis, it was determined that the hyperlordosis case required more metabolic power and additional recruitment of the flexor muscles in order to stabilize in comparison to the other lordosis cases. The hypolordosis cases required less metabolic power and additional recruitment of extensor muscles to stabilize in comparison to the other lordosis cases. The additional recruitment of the flexor muscles needed to stabilize the hyperlordotic spine and the additional recruitment of the extensor muscles needed to stabilize the hypolordotic spine can be explained by the line of gravity being positioned posteriorly and anteriorly for the lordosis cases respectively. Future investigations should further explore the impact of lumbar lordosis angle on spine stability, especially experimentally and with EMG-based models, and should consider investigating the impacts of varying stiffness gains on spinal stability. Lastly, additional loading tasks should be simulated with the model, such as asymmetric tasks, differing load magnitudes and differing load application points.
dc.format.extent260 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectBiomechanics
dc.subjectBioengineering
dc.subjectLumbar lordosis
dc.subjectModel
dc.subjectSpine
dc.subjectStability
dc.subjectStiffness gain
dc.titleModeling of the human trunk: the impact of stiffness gain and lumbar lordosis on stability
dc.typeThesis
dc.contributor.cmtememberFriis, Elizabeth A.
dc.contributor.cmtememberLuchies, Carl W.
dc.thesis.degreeDisciplineBioengineering
dc.thesis.degreeLevelM.S.
dc.identifier.orcid
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record