Full text

Turn on search term navigation

Copyright © 2014 Cheng-Kung Cheng et al. Cheng-Kung Cheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Typically, joint arthroplasty is performed to relieve pain and improve functionality in a diseased or damaged joint. Total knee arthroplasty (TKA) involves replacing the entire knee joint, both femoral and tibial surfaces, with anatomically shaped artificial components in the hope of regaining normal joint function and permitting a full range of knee flexion. In spite of the design of the prosthesis itself, the degree of flexion attainable following TKA depends on a variety of factors, such as the joint's preoperative condition/flexion, muscle strength, and surgical technique. High-flexion knee prostheses have been developed to accommodate movements that require greater flexion than typically achievable with conventional TKA; such high flexion is especially prevalent in Asian cultures. Recently, computational techniques have been widely used for evaluating the functionality of knee prostheses and for improving biomechanical performance. To offer a better understanding of the development and evaluation techniques currently available, this paper aims to review some of the latest trends in the simulation of high-flexion knee prostheses.

Details

Title
Biomechanical Considerations in the Design of High-Flexion Total Knee Replacements
Author
Cheng-Kung, Cheng; McClean, Colin J; Yu-Shu, Lai; Chen, Wen-Chuan; Chang-Hung, Huang; Lin, Kun-Jhih; Chang, Chia-Ming
Publication year
2014
Publication date
2014
Publisher
John Wiley & Sons, Inc.
ISSN
23566140
e-ISSN
1537744X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1547777648
Copyright
Copyright © 2014 Cheng-Kung Cheng et al. Cheng-Kung Cheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.