2006
DOI: 10.1016/j.jbiomech.2005.07.024
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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

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Cited by 45 publications
(45 citation statements)
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“…The measurement of gait in knee OA is challenging, and principal component analysis has been used before to extract and summarise the most useful information from waveforms [14], [15], [16]. However, variables taken individually often fail to adequately describe the functional performance of gait, whereas a combination of multiple pieces of data available in a gait analysis can provide a much more comprehensive assessment [13], [16].…”
Section: Introductionmentioning
confidence: 99%
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“…The measurement of gait in knee OA is challenging, and principal component analysis has been used before to extract and summarise the most useful information from waveforms [14], [15], [16]. However, variables taken individually often fail to adequately describe the functional performance of gait, whereas a combination of multiple pieces of data available in a gait analysis can provide a much more comprehensive assessment [13], [16].…”
Section: Introductionmentioning
confidence: 99%
“…However, variables taken individually often fail to adequately describe the functional performance of gait, whereas a combination of multiple pieces of data available in a gait analysis can provide a much more comprehensive assessment [13], [16].…”
Section: Introductionmentioning
confidence: 99%
“…The current work describes a statistical analysis to determine variables that highlight significant functional differences between the two surgical approaches and also between the operated and non-pathological hip within each surgical cohort. It then explores the use of these variables as inputs for classification, using a method [14] based on the Dempster-Shafer theory (DST) of evidence, to characterize operated and non-pathological hip function. This method objectively analyses the mass of conflicting and corroborating data, removing the need for subjective interpretation.…”
Section: Introductionmentioning
confidence: 99%
“…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%