Brown, Lindsey
(2013)
Quantifying upper limb movements among wheelchair users using wheelchair propulsion monitoring devices.
Undergraduate Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Wheelchair users face the challenge of using their arms to mobilize their bodies instead of their legs—resulting in pain and injury. Development of tools to measure motions occurring during wheelchair propulsion presents the opportunity to study patterns and activities of wheelchair users to help prevent pain and injury. This study combined measurement tools including accelerometers and a wheel rotation data logger to collect data on activities performed by manual wheelchair users. Twenty-six participants with spinal cord injury completed lab visits of data collection. A model was created from lab data to classify data as propulsion, rest, activities of daily living (ADLs), or being pushed. The best percent accuracies of the classifying model for each activity are as follows: 84.5% for propulsion, 85.6% for rest, 84.6% for ADLs, and 79.9% for being pushed. When applied to data from a user’s natural environment, this model can provide information on average time spent per day in each activity. With future work, the wheelchair propulsion monitoring devices of this study could quantify movement in manual wheelchair users’ natural environments.
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Details
| Item Type: |
University of Pittsburgh ETD
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| Status: |
Unpublished |
| Creators/Authors: |
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| ETD Committee: |
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| Date: |
23 January 2013 |
| Date Type: |
Publication |
| Defense Date: |
6 November 2012 |
| Approval Date: |
23 January 2013 |
| Submission Date: |
6 December 2012 |
| Access Restriction: |
5 year -- Restrict access to University of Pittsburgh for a period of 5 years. |
| Number of Pages: |
34 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
David C. Frederick Honors College
School of Health and Rehabilitation Sciences > Rehabilitation Science |
| Degree: |
BPhil - Bachelor of Philosophy |
| Thesis Type: |
Undergraduate Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
MWC user, MWC, WPMD, Shimmer, data-logger |
| Date Deposited: |
23 Jan 2013 20:02 |
| Last Modified: |
23 Jan 2018 06:15 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/16839 |
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