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    Fractal Analysis of Center of Pressure Velocity Time Series in Parkinson's Disease

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    Harper_ku_0099M_14123_DATA_1.pdf (1002.Kb)
    Issue Date
    2015-08-31
    Author
    Harper, Joshua Russell
    Publisher
    University of Kansas
    Format
    103 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Mechanical Engineering
    Rights
    Copyright held by the author.
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    Abstract
    Abstract The purpose of this study was to test the sensitivity of system parameters of the Center of Pressure velocity (COPv) time series using Detrended Fluctuation Analysis to pre-clinical postural instability (PI) in PD, the progression of PI due to PD progression, and ultimately fall risk. The long term goal is to create quantitative clinically significant measures of pre-clinical PD PI, the progression of PI due to PD progression, and fall risk. Postural sway data collected in a previous study, including participants with mild PD (PD-Mi), moderate PD (PD-Mo) and age-range-matched healthy controls (HC), were analyzed in this study. Ground reaction forces and moments were collected from subjects standing on force plates in quiet postural sway in eyes open (EO) and eyes closed (EC) conditions. COPv was calculated and analyzed as a non-stationary time series. We investigated the temporal parameter of Absolute Average Maximal Velocity (AAMV), the system order parameter of Approximate Entropy (ApEn), and fractal parameters from the DFA which were the short (α1) and long (α2) term scaling behavior of the time series and the time scale at which the behavior changes – the crossover index (CrI). AAMV showed significant group differences between HC and PD-Mo and significant condition differences. In the fractal analysis, α1 showed significant group differences between HC and PD-Mo and α2 showed significant differences between conditions. Due to the pilot nature of the study, power analysis was conducted on all non-significant measures in order to investigate required subject numbers for significance. Feasible subject numbers were found for many of the measures. These results suggest that the temporal and fractal analysis of the COPv time series are sensitive measures of the differences between PD and HC and can be used in concert with traditional measures to further benefit clinical analysis, understanding of disease pathology, and development of computer simulation models of postural control in PD.
    URI
    http://hdl.handle.net/1808/19412
    Collections
    • Engineering Dissertations and Theses [1055]
    • Theses [3827]

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    785-864-8983
    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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