Approaches to study spine biomechanics: A literature review

Jazmin Cruz, James Yang, Yujiang Xiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A large population will likely experience lower back pain during their lifetime. Severe cases of lower back pain can sometimes be caused by back conditions or diseases, eventually being alleviated through surgical procedure. Skilled surgeons can make educated decisions on the best procedure for their patients, but the development of a spine model that can estimate biomechanical properties of the spine could aid in surgical decision-making. This paper discusses the current state of the art of four approaches used to study spine biomechanics: in vivo experimentation, in vitro cadaveric testing, finite element analysis, and musculoskeletal modeling. It is concluded that using a combination of these methods can lead to more accurate spine models that could possibly lead to clinical use.

Original languageEnglish
Title of host publicationAdvances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization
EditorsDaniel N. Cassenti
PublisherSpringer-Verlag
Pages453-462
Number of pages10
ISBN (Print)9783319942223
DOIs
StatePublished - 2019
EventAHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018 - Orlando, United States
Duration: Jul 21 2018Jul 25 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume780
ISSN (Print)2194-5357

Conference

ConferenceAHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018
CountryUnited States
CityOrlando
Period07/21/1807/25/18

Keywords

  • Digital human modeling
  • Finite element analysis
  • Human spine
  • Musculoskeletal modeling

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