Thesis
Visualisation of back movement using the Motek D-flow software and the Vicon motion capture system
- Creator
- Rights statement
- Awarding institution
- University of Strathclyde
- Date of award
- 2015
- Thesis identifier
- T14235
- Person Identifier (Local)
- 201467638
- Qualification Level
- Qualification Name
- Department, School or Faculty
- 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.
- Resource Type
- DOI
- Alternative Title
- Visualisation of back movement using Motek D-flow software
- Date Created
- 2015
- Former identifier
- 1248081
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