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JiaChen_MasterThesis_final.pdf (14.01 MB)

ETD Abstract Container

Abstract Header

mHealth Tracker to Track Postural Stability and Pain History

Chen, Jia
http://rave.ohiolink.edu/etdc/view?acc_num=case1550234203540846

Abstract Details

2019, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
Balance ability and pain are two factors often monitored at same time in actual treatment and medical researches. Balance has been an essential indicator of human health and is realized by the coordination and support from several body systems including the vestibular, visual, auditory, motor, and higher level premotor systems. Pain itself can be a central feature and it can also be regarded as a symptom of some progress. Studies suggest that pain and balance ability are related, however, for further study on their relationship, a system for monitoring balance and chronic pain conditions in long term, collecting relative objective data, and providing sufficient visualization during and after is necessary. Therefore, mHealth Tracker system is proposed in this thesis for filling this gap and helping balance and pain related researches and regular treatments. The system consists two subsystems, Wearable Gait Lab (WGL) subsystem, for activities of feet monitoring during balance tests, and Pain Marker, for self-report and review pain information. The reliability of each subsystem of mHealth Tracker are tested and evaluated separately with standard tools used currently. The WGL system is evaluated with standard balance tests (Limits of Stability, Sit-To-Stand, and Rhythmic Weight Shift), whereas the data collected are analyzed with data mining techniques to verify the reliability of the designated process. Certain parameters are computed such as Center of Gravity (COG), weight transfer time, and sway velocities. The reliability of Pain Marker subsystem is proven by comparing with traditional pain reporting questionnaires. Also, Pain Marker is highly recommenced based on user experience questionnaires. The result shows that mHealth Tracker is informational and reliable in the process of determining balance status and pain information collection with additional advantages in high portability and efficient review communications.
Ming-Chun Huang (Advisor)
Jing Li (Committee Member)
Andy Podgurski (Committee Member)
69 p.
Computer Science
mobile health; AR; pain; balance

Recommended Citations

Citations

  • Chen, J. (2019). mHealth Tracker to Track Postural Stability and Pain History [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1550234203540846

    APA Style (7th edition)

  • Chen, Jia. mHealth Tracker to Track Postural Stability and Pain History. 2019. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1550234203540846.

    MLA Style (8th edition)

  • Chen, Jia. "mHealth Tracker to Track Postural Stability and Pain History." Master's thesis, Case Western Reserve University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1550234203540846

    Chicago Manual of Style (17th edition)

case1550234203540846
499
© 2019, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.