A review of probabilistic analysis in orthopaedic biomechanics.

P J Laz, M Browne
Author Information
  1. P J Laz: Computational Biomechanics Lab, Department of Mechanical and Materials Engineering, University of Denver, 2390 South York Street, Denver, CO 80208, USA. plaz@du.edu

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.

MeSH Term

Animals
Computer Simulation
Computer-Aided Design
Data Interpretation, Statistical
Equipment Failure Analysis
Humans
Joint Prosthesis
Joints
Models, Biological
Models, Statistical
Prosthesis Design

Word Cloud

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