Classification of osteoarthritic and normal knee function using three-dimensional motion analysis and the Dempster-Shafer theory of evidence

Beynon, Malcolm James; Jones, Llewelyn; Holt, Catherine Avril

doi:10.1109/tsmca.2006.859098

Cited by 40 publications

(50 citation statements)

References 22 publications

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“…The classification method utilised in this paper (Beynon et al, 2002) comprises a number of stages: (i) conversion of input variables into confidence factors, (ii) conversion of confidence factors to BOEs using DST, (iii) combination of individual BOEs and (iv) visualisation of BOEs using simplex plots. These individual stages are now discussed in the following subsections, throughout which the reader is directed to Fig.…”

Section: Classification Methodsmentioning

confidence: 99%

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

Beynon

Holt

et al. 2006

Journal of Biomechanics

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Section: Classification Methodsmentioning

confidence: 99%

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

Beynon

Holt

et al. 2006

Journal of Biomechanics

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“…This has become evident when communicating the method and results across a wide spectrum of disciplines as the method has been well received by engineers, mathematicians, physiotherapists, and orthopaedic surgeons [19,20,23,24].…”

Section: Simplicity Of the Diagnostic Toolmentioning

confidence: 99%

An objective tool for assessing the outcome of total knee replacement surgery

Jones

Holt

2008

Proc Inst Mech Eng H

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Abstract:The need for an objective tool to assess the outcome of total knee replacement (TKR) surgery is widely recognized. This study investigates the potential of an objective diagnostic tool for assessing the outcome of TKR surgery based on motion analysis techniques. The diagnostic tool has two main elements: collection of data using motion analysis, and the assessment of knee function using a classifier that is based around the Dempster-Shafer theory of evidence. The tool was used to analyse the knee function of nine TKR subjects preoperatively and at three stages post-operatively. Using important measurable characteristics of the knee, the tool was able to establish the level of benefit achieved by surgery and to enable a comparison of subjects. No subject recovered normal knee function following TKR surgery. This has important implications for knee implant designs.

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“…This paper also exposits a development on the binary ‘2-state’ classification, classification and ranking belief simplex (CaRBS),4,5,7 which is able to undertake n -state classification, termed n -state classification and ranking belief simplex (NCaRBS). N -state classification is very desirable in biomechanics research where two or more conditions or treatment groups are being considered.…”

Section: Introductionmentioning

confidence: 99%

“…CaRBS and NCaRBS, whose operations are based on the Dempster–Shafer theory of evidence,10,29 offer an approach to object classification modelling based on uncertain or evidential reasoning 9,26. Early applications of the CaRBS technique include corporate failure and bank rating prediction,4,5 osteoarthritic knee analysis,7,19 THA outcome from gait,32 bird gender classification6 and student performance analysis 20…”

Section: Introductionmentioning

confidence: 99%

“…The NCaRBS, is a non-parametric evidence-based technique, able to classify objects to a number of states (rather than just two states when using CaRBS4,5,7), using the evidence from a series of characteristics describing them. The description of this development (NCaRBS) will follow the description of the CaRBS technique exposited in previous papers by Beynon 4,5,7.…”

Section: Introductionmentioning

confidence: 99%

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The Application of NCaRBS to the Trendelenburg Test and Total Hip Arthroplasty Outcome

2015

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This paper compares the frontal plane hip function 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 development 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 Trendelenburg 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.

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Classification of osteoarthritic and normal knee function using three-dimensional motion analysis and the Dempster-Shafer theory of evidence

Cited by 40 publications

References 22 publications

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

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

An objective tool for assessing the outcome of total knee replacement surgery

The Application of NCaRBS to the Trendelenburg Test and Total Hip Arthroplasty Outcome

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