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Quantifying upper limb movements among wheelchair users using wheelchair propulsion monitoring devices

Brown, Lindsey (2013) Quantifying upper limb movements among wheelchair users using wheelchair propulsion monitoring devices. Undergraduate Thesis, University of Pittsburgh. (Unpublished)

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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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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Brown, Lindseylab139@pitt.eduLAB139
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairDing, Dandad5@pitt.eduDAD5
Committee MemberBinder-Macleod,
Committee MemberKoontz, Aliciaakoontz@pitt.eduAKOONTZ
Committee MemberBurdett, Rayrgb@pitt.eduRGB
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: University 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


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