Can one develop a biomarker to detect movement disorder types?

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dc.contributor.author Kim, Kimoon
dc.date.accessioned 2018-03-13T12:29:35Z
dc.date.available 2018-03-13T12:29:35Z
dc.date.issued 2017
dc.identifier.citation Kim, Kimoon (2017) Can one develop a biomarker to detect movement disorder types?, University of the Witwatersrand, <https://hdl.handle.net/10539/24187>
dc.identifier.uri https://hdl.handle.net/10539/24187
dc.description A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Engineering. Johannesburg, 2017 en_ZA
dc.description.abstract This study presents the development of a potentially new biomarker for three different movement disorders: Huntington’s Disease (HD), Parkinson’s Disease (PD) and Essential Tremors (ET). A Leap Motion® gaming device was used to record the trajectories of subjects’ forefinger as they trace simple patterns in the air. The patterns used were stepfunction, triangle and circle. The recorded signals were analysed using transform functions and Fourier analysis. Both analysis types yielded features from which differences between the four categories studied: PD, HD, ET and control subjects, were sought and displayed in both graphical and numerical forms. The X-axis and Y-axis of the signals were separately analysed and yielded different results. For the step-function pattern, no distinct differences between the four categories were found from the transfer function analysis whereas the Y-axis of the signal could distinguish between the categories. For the triangle pattern, the X-axis features provided a discrimination between the categories while the Y-axis feature did not. For the circle pattern, neither X-axis nor Y-axis features were able to distinguish between the categories. A Fourier analysis showed a better discrimination ability for both X- and Y- axis. This study is a preliminary one and all results indicate that more subjects of all categories are needed to develop a bio-marker for the diseases studied and that a higher order transfer function analysis is required. However, the methodology outlined in this work, comprising of both the experimental system and the analysis showed a potential to produce a biomarker for movement disorders. en_ZA
dc.format.extent Online resource (232 leaves)
dc.language.iso en en_ZA
dc.subject.lcsh Biochemical markers
dc.subject.lcsh Biological monitoring
dc.subject.lcsh Movement disorders
dc.subject.lcsh Fourier analysis
dc.subject.lcsh Parkinson's disease
dc.subject.lcsh Huntington's disease
dc.subject.lcsh Tremor
dc.title Can one develop a biomarker to detect movement disorder types? en_ZA
dc.type Thesis en_ZA
dc.description.librarian MT2018 en_ZA


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