Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

An application of the Dempster-Shafer theory of evidence to the classification of knee function and detection of improvement due to total knee replacement surgery

Jones, Lianne, Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X, Holt, Catherine Avril ORCID: https://orcid.org/0000-0002-0428-8078 and Roy, Stuart 2006. An application of the Dempster-Shafer theory of evidence to the classification of knee function and detection of improvement due to total knee replacement surgery. Journal of biomechanics 39 (13) , pp. 2512-2520. 10.1016/j.jbiomech.2005.07.024

Full text not available from this repository.

Abstract

This paper utilises a novel method for the classification of subjects with osteoarthritic and normal knee function. The classification method comprises a number of different components. Firstly, the method exploits the Dempster–Shafer theory of evidence allowing for a degree of ignorance in the subject's classification, i.e., a level of uncertainty as to whether a gait variable indicates osteoarthritis or not. Secondly, the inclusion of simplex plots allows both the classification of a subject, and the contribution of each associated gait variable to that classification, to be represented visually. As a result, the method is further able to highlight periodic changes in a subject's knee function due to total knee replacement surgery and subsequent recovery. The visual representation enables a simple clinical interpretation of the results from the quantitative analysis.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Engineering
Uncontrolled Keywords: Classification; Dempster–Shafer theory; Knee function; Total knee replacement; Gait analysis
Publisher: Elsevier
ISSN: 0021-9290
Last Modified: 17 Oct 2022 09:07
URI: https://orca.cardiff.ac.uk/id/eprint/2113

Citation Data

Cited 40 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item