Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    Browsing 2019 Dissertations (MU) by Thesis Advisor 
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Dissertations (MU)
    • 2019 Dissertations (MU)
    • Browsing 2019 Dissertations (MU) by Thesis Advisor
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Dissertations (MU)
    • 2019 Dissertations (MU)
    • Browsing 2019 Dissertations (MU) by Thesis Advisor
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleSubjectIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CommunityDate IssuedAuthor/ContributorTitleSubjectIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    Browsing 2019 Dissertations (MU) by Thesis Advisor "Skubic, Marjorie"

    • 0-9
    • A
    • B
    • C
    • D
    • E
    • F
    • G
    • H
    • I
    • J
    • K
    • L
    • M
    • N
    • O
    • P
    • Q
    • R
    • S
    • T
    • U
    • V
    • W
    • X
    • Y
    • Z

    Sort by:

    Order:

    Results:

    Now showing items 1-2 of 2

    • Title
    • Date Issued
    • ascending (A-Z)
    • descending (Z-A)
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    • Automated and non-contact human finger range of motion measurement system 

      Anaz, Aws (University of Missouri--Columbia, 2019)
      [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Measurement of finger active range of motion (ROM) is essential for monitoring the effectiveness of rehabilitative treatments and for evaluating patients' ...
    • Data-driven methods for analyzing ballistocardiograms in longitudinal cardiovascular monitoring 

      Enayati, Moein (University of Missouri--Columbia, 2019)
      Cardiovascular disease (CVD) is the leading cause of death in the US; about 48% of American adults have one or more types of CVD. The importance of continuous monitoring of the older population, for early detection of ...

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems