Systematic review of computational modelling for biomechanics analysis of total knee replacement

Systematic review of computational modelling for biomechanics analysis of total knee replacement

In vitro and in vivo testing can provide insight into knee joint mechanics and implant performance. However, these methods are costly and time-consuming, which always limits their widespread use during the design stage of the implant. This review presents a critical analysis of computational modelli...

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Bibliographic Details
Main Authors: Liming Shu, Shihao Li, Naohiko Sugita
Format: Article
Language:English
Published: Wiley 2020-02-01
Series:Biosurface and Biotribology
Subjects:
bone
neural nets
biomechanics
orthopaedics
prosthetics
medical computing
reviews
design of experiments
probability
systematic review
computational modelling
biomechanics analysis
total knee replacement
knee joint mechanics
implant performance
design stage
boundary conditions
computational experiments
design-of-experiments
subjective modelling
preclinical testing
in vivo testing
in vitro testing
material properties
probabilistic methodology
neural network methodology
Online Access:https://digital-library.theiet.org/content/journals/10.1049/bsbt.2019.0012

Internet

https://digital-library.theiet.org/content/journals/10.1049/bsbt.2019.0012

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