Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493141
Title: The use of multi dimensional attribute analysis to account for intense variability in phono arthrometric traces
Author: Abbott, Steven Colin
Awarding Body: Anglia Ruskin University
Current Institution: Anglia Ruskin University
Date of Award: 2008
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Abstract:
Phono Arthrometry is the study of sound naturally generated by a joint in motion, usually associated with the knee. The technique has not achieved use in front line health care, though has received modest attention in the literature since its first appearance in 1902 with a total of 52 publications identified by this thesis. The Phono Arthrometric traces are prone to extreme levels of variability, a difficulty recognised by some of the literature and a plausible reason for the technique not being fully developed. This work seeks to Identify the causes of the intense variability and attempt to account for them using Multi Dimensional Attribute Analysis, a little known data processing technique.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.493141  DOI: Not available
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