Literature DB >> 20923112

A review of probabilistic analysis in orthopaedic biomechanics.

P J Laz1, M Browne.   

Abstract

Probabilistic analysis methods are being increasingly applied in the orthopaedics and biomechanics literature to account for uncertainty and variability in subject geometries, properties of various structures, kinematics and joint loading, as well as uncertainty in implant alignment. As a complement to experiments, finite element modelling, and statistical analysis, probabilistic analysis provides a method of characterizing the potential impact of variability in parameters on performance. This paper presents an overview of probabilistic analysis and a review of biomechanics literature utilizing probabilistic methods in structural reliability, kinematics, joint mechanics, musculoskeletal modelling, and patient-specific representations. The aim of this review paper is to demonstrate the wide range of applications of probabilistic methods and to aid researchers and clinicians in better understanding probabilistic analyses.

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Year:  2010        PMID: 20923112     DOI: 10.1243/09544119JEIM739

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  14 in total

1.  Prediction of In Vivo Knee Joint Loads Using a Global Probabilistic Analysis.

Authors:  Alessandro Navacchia; Casey A Myers; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech Eng       Date:  2016-03       Impact factor: 2.097

2.  The Influence of Component Alignment and Ligament Properties on Tibiofemoral Contact Forces in Total Knee Replacement.

Authors:  Colin R Smith; Michael F Vignos; Rachel L Lenhart; Jarred Kaiser; Darryl G Thelen
Journal:  J Biomech Eng       Date:  2016-02       Impact factor: 2.097

3.  Simulated hip abductor strengthening reduces peak joint contact forces in patients with total hip arthroplasty.

Authors:  Casey A Myers; Peter J Laz; Kevin B Shelburne; Dana L Judd; Joshua D Winters; Jennifer E Stevens-Lapsley; Bradley S Davidson
Journal:  J Biomech       Date:  2019-06-06       Impact factor: 2.712

4.  Multiscale cartilage biomechanics: technical challenges in realizing a high-throughput modelling and simulation workflow.

Authors:  Ahmet Erdemir; Craig Bennetts; Sean Davis; Akhil Reddy; Scott Sibole
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

5.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

6.  Global sensitivity analysis of the joint kinematics during gait to the parameters of a lower limb multi-body model.

Authors:  Aimad El Habachi; Florent Moissenet; Sonia Duprey; Laurence Cheze; Raphaël Dumas
Journal:  Med Biol Eng Comput       Date:  2015-03-18       Impact factor: 2.602

Review 7.  Subject-specific analysis of joint contact mechanics: application to the study of osteoarthritis and surgical planning.

Authors:  Corinne R Henak; Andrew E Anderson; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

8.  A probabilistic approach to quantify the impact of uncertainty propagation in musculoskeletal simulations.

Authors:  Casey A Myers; Peter J Laz; Kevin B Shelburne; Bradley S Davidson
Journal:  Ann Biomed Eng       Date:  2014-11-18       Impact factor: 3.934

9.  Influence of Ligament Properties on Tibiofemoral Mechanics in Walking.

Authors:  Colin R Smith; Rachel L Lenhart; Jarred Kaiser; Michael F Vignos; Darryl G Thelen
Journal:  J Knee Surg       Date:  2015-09-26       Impact factor: 2.757

10.  Effect of simulated rehabilitation on hip joint loading during single limb squat in patients with hip dysplasia.

Authors:  Brecca M M Gaffney; Marcie Harris-Hayes; John C Clohisy; Michael D Harris
Journal:  J Biomech       Date:  2021-01-07       Impact factor: 2.712

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