The application of NCaRBS to the Trendelenburg test and total hip arthroplasty outcome

Whatling, Gemma Marie ORCID: https://orcid.org/0000-0001-6912-9580, Holt, Catherine Avril ORCID: https://orcid.org/0000-0002-0428-8078 and Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X 2015. The application of NCaRBS to the Trendelenburg test and total hip arthroplasty outcome. Annals of Biomedical Engineering 43 (2) , pp. 363-375. 10.1007/s10439-014-1231-1

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Abstract

This paper compares the frontal plane hip func- tion of subject’s known to have had hip arthroplasty via either the lateral (LA) or posterior (PA) surgical approaches and a group of subjects associated with no pathology (NP). This is investigated through the Trendelenburg test using 3D motion analysis and classification. Here, a recent develop- ment on the Classification and Ranking Belief Simplex (CaRBS) technique, able to undertake n-state classification, so termed NCaRBS is employed. The relationship between post-operative hip function measured during a Trendelen- burg Test using three patient characteristics (pelvic obliquity, frontal plane hip moment and frontal plane hip power) of LA, PA and NP subjects are modelled together. Using these characteristics, the classification accuracy was 93.75% for NP, 57.14% for LA, 38.46% for PA. There was a clear distinction between NP and post-surgical function. 3/6 LA subjects and 6/8 PA subjects were misclassified as having NP function, implying that greater function is restored following the PA to surgery. NCaRBS achieved a higher accuracy (65.116%) than through a linear discriminant analysis (48.837%). A Neural Network with two-nodes achieved the same accuracy (65.116%) and as expected was further improved with three-nodes (69.767%). A valuable benefit to the employment of the NCaRBS technique is the graphical exposition of the contribution of patient characteristics to the classification analysis.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Engineering
Subjects:	R Medicine > RD Surgery T Technology > TJ Mechanical engineering and machinery
Publisher:	Springer Verlag
ISSN:	0090-6964
Funders:	Arthritis Research UK
Date of First Compliant Deposit:	30 March 2016
Date of Acceptance:	17 December 2014
Last Modified:	10 Nov 2024 11:00
URI:	https://orca.cardiff.ac.uk/id/eprint/69697

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