Thesis

Visualisation of back movement using the Motek D-flow software and the Vicon motion capture system

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Awarding institution
  • University of Strathclyde
Date of award
  • 2015
Thesis identifier
  • T14235
Person Identifier (Local)
  • 201467638
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Abstract
  • Background: Low back pain (LBP) is one of the world's most common medical conditions with an estimated 60% of all adults experiencing it within their lifetime. Those that go on to develop chronic LBP start to develop guarded movements and a negative outlook so motion capture technology is being looked at as a way to promote better unguarded movement within this group of suffers. Aims: The aim of this project is to create an application that uses motion capture technology that can be used in the treatment of LBP in a clinical setting that requires little to no train to operate whereby it provides visual feedback to the patient based on their position by comparing their current position to that of a recording. Methods: The application was developed in Motek D-Flow, Motek Medical, Amsterdam Netherlands, in conjunction with a 8-camera VICON system, VICON, Oxford, United Kingdom. This was achieved using a series of scripting modules written in Lua to recognise a set of 5 clusters each with 4 markers placed on key anatomical structures on both the spine and legs and then compare that to a previous recording by comparing the distances between the clusters in both the live and recorded situations. Results: The results show that it was possible to create an application where by it compares the differences between a live and a recorded position and is able to provide visual feedback based off the outcome with a traffic light based system to show how many of the clusters are in the correct place.
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DOI
Alternative Title
  • Visualisation of back movement using Motek D-flow software
Date Created
  • 2015
Former identifier
  • 1248081

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