Literature DB >> 24576587

Biological variability in biomechanical engineering research: Significance and meta-analysis of current modeling practices.

Douglas Cook1, Margaret Julias2, Eric Nauman3.   

Abstract

Biological systems are characterized by high levels of variability, which can affect the results of biomechanical analyses. As a review of this topic, we first surveyed levels of variation in materials relevant to biomechanics, and compared these values to standard engineered materials. As expected, we found significantly higher levels of variation in biological materials. A meta-analysis was then performed based on thorough reviews of 60 research studies from the field of biomechanics to assess the methods and manner in which biological variation is currently handled in our field. The results of our meta-analysis revealed interesting trends in modeling practices, and suggest a need for more biomechanical studies that fully incorporate biological variation in biomechanical models and analyses. Finally, we provide some case study example of how biological variability may provide valuable insights or lead to surprising results. The purpose of this study is to promote the advancement of biomechanics research by encouraging broader treatment of biological variability in biomechanical modeling.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Biological variation; Modeling; Sensitivity analysis

Mesh:

Year:  2014        PMID: 24576587     DOI: 10.1016/j.jbiomech.2014.01.040

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  5 in total

1.  Inter-individual variation in vertebral kinematics affects predictions of neck musculoskeletal models.

Authors:  Derek D Nevins; Liying Zheng; Anita N Vasavada
Journal:  J Biomech       Date:  2014-09-01       Impact factor: 2.712

2.  Cell wall mechanics: Some new twists.

Authors:  Renate A Weizbauer; Douglas D Cook
Journal:  Biophys J       Date:  2022-02-15       Impact factor: 4.033

Review 3.  Finite element models of the human shoulder complex: a review of their clinical implications and modelling techniques.

Authors:  Manxu Zheng; Zhenmin Zou; Paulo Jorge Da Silva Bartolo; Chris Peach; Lei Ren
Journal:  Int J Numer Method Biomed Eng       Date:  2016-03-22       Impact factor: 2.747

4.  Validation of a Patient-Specific Musculoskeletal Model for Lumbar Load Estimation Generated by an Automated Pipeline From Whole Body CT.

Authors:  Tanja Lerchl; Malek El Husseini; Amirhossein Bayat; Anjany Sekuboyina; Luis Hermann; Kati Nispel; Thomas Baum; Maximilian T Löffler; Veit Senner; Jan S Kirschke
Journal:  Front Bioeng Biotechnol       Date:  2022-07-11

5.  Comprehensive, Population-Based Sensitivity Analysis of a Two-Mass Vocal Fold Model.

Authors:  Daniel Robertson; Matías Zañartu; Douglas Cook
Journal:  PLoS One       Date:  2016-02-04       Impact factor: 3.240

  5 in total

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