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OzingaSJ Dissertation.pdf (2.48 MB)

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Quantification of postural stability in Parkinson's disease patients using mobile technology

Ozinga, Sarah J.
http://orcid.org/0000-0002-3922-5456
http://rave.ohiolink.edu/etdc/view?acc_num=csu1450261576

Abstract Details

2015, Doctor of Engineering, Cleveland State University, Washkewicz College of Engineering.
Patients with Parkinson’s disease (PD) have declines in executive function and attention that are accompanied by postural instability and gait dysfunction (PIGD). PIGD and cognitive deficits are debilitating symptoms in PD patients, which become more pronounced during performance of complex tasks, such as performing two concurrent tasks. A significant gap remains in the ability to effectively characterize postural instability in individuals with PD. Clinical evaluation of postural declines is largely subjective while objective biomechanical approaches are expensive and time consuming, thus limiting clinical adoption. Recent advances in mobile devices present an opportunity to address the gap in the quantification of postural stability with and without a concurrent cognitive task. The goal of this dissertation was to determine if a mobile device (Apple iPad) could be used to accurately characterize postural stability and cognitive function under various levels of difficulty and detect differences in performance between individuals with PD and healthy older adults. In Study 1, 17 patients with PD and 17 controls completed a series of postural stability tasks. The motion analysis system and mobile device provided similar measures of stability across groups and kinematic data were capable of discriminating patients from controls. In Study 2, 14 patients with PD and 14 controls completed the Sensory Organization Test (NeuroCom International). Center of mass acceleration measures of stability were sensitive in discriminating sensorimotor function across populations. In Study 3, 28 patients with PD and 28 controls completed a series of postural stability and attention distracting cognitive tasks both alone and simultaneously. Under less complex postural demands, patients prioritized postural stability over the cognitive tasks. During more complex balance conditions, patients exhibited significant decreases in both postural stability and cognition compared to controls, suggesting that PD patients invest more attention into maintaining balance. Hardware within the mobile device provides data of sufficient quantity and quality to discern postural stability and cognitive abilities across patients with PD and older adults. The objectivity, portability, and affordability of this device make it ideal for use in better understanding how neurological disorders impact activities of daily living and may aid in clinical decision-making.
Jay Alberts, PhD (Committee Chair)
Susan Linder, DPT (Committee Member)
Andre Machado, MD, PhD (Committee Member)
Cameron McIntyre, PhD (Committee Member)
Sridhar Ungarala, PhD (Committee Member)
197 p.
Biomechanics; Biomedical Engineering; Biomedical Research; Neurosciences
Parkinson disease; postural stability; biomechanics; mobile technology

Recommended Citations

Citations

  • Ozinga, S. J. (2015). Quantification of postural stability in Parkinson's disease patients using mobile technology [Doctoral dissertation, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1450261576

    APA Style (7th edition)

  • Ozinga, Sarah. Quantification of postural stability in Parkinson's disease patients using mobile technology. 2015. Cleveland State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1450261576.

    MLA Style (8th edition)

  • Ozinga, Sarah. "Quantification of postural stability in Parkinson's disease patients using mobile technology." Doctoral dissertation, Cleveland State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=csu1450261576

    Chicago Manual of Style (17th edition)

csu1450261576
928
© 2015, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.