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Noah_Einstein_MS_Thesis.pdf (16.7 MB)
ETD Abstract Container
Abstract Header
SmartHub: Manual Wheelchair Data Extraction and Processing Device
Author Info
Einstein, Noah
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1555352793977171
Abstract Details
Year and Degree
2019, Master of Science, Ohio State University, Mechanical Engineering.
Abstract
Manual wheelchair users rely heavily on upper body force generation for propulsion, and as a result, they are susceptible to upper extremity injuries. These injuries are often related to propulsion techniques and individual wheelchair configuration. In order to better understand how propulsion metrics such as stroke frequency, stroke length and push force relate to biomechanical injury, it is necessary to monitor this data on a device for an extended period of time. A clinically available device known as the SmartWheel can be used to generate a report that summarizes these metrics. However, this device has a number of limitations that prevent its use in longer term studies conducted in everyday use outside of the clinic. The SmartWheel is a standalone wheel, that is substituted for standard, original equipment wheelchair wheels, which includes a range of different sensors. However, this device is relatively expensive, requires significant and time-consuming modifications to the wheelchair in order to be used, and is suitable only for in-clinic use. We have developed a novel device, called the SmartHub, which is a low cost, unobtrusive activity monitor designed to collect and store or transmit wheelchair propulsion data. This device is approximately the size of a hockey puck, and consists of a WIFI-enabled microprocessor, nine-axis inertial measurement unit, rechargeable battery that can be easily attached to any diameter manual wheelchair wheel. The device collects a wide range of propulsion characteristics in real-time, which can be utilized to produce the metrics of interest. The SmartHub and the resulting information it can produce have the potential to allow the study and evaluation of these metrics with the goal of reducing upper extremity injuries for manual wheelchair users.
Committee
Sandra Metzler, DSc (Advisor)
Carmen DiGiovine, PhD ATP/SMS, RET (Committee Member)
Blaine Lilly, PhD (Committee Member)
Pages
81 p.
Subject Headings
Mechanical Engineering
;
Rehabilitation
Keywords
mobility
;
wheelchair
;
rehabilitation
;
dynamics
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Citations
Einstein, N. (2019).
SmartHub: Manual Wheelchair Data Extraction and Processing Device
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555352793977171
APA Style (7th edition)
Einstein, Noah.
SmartHub: Manual Wheelchair Data Extraction and Processing Device.
2019. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1555352793977171.
MLA Style (8th edition)
Einstein, Noah. "SmartHub: Manual Wheelchair Data Extraction and Processing Device." Master's thesis, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555352793977171
Chicago Manual of Style (17th edition)
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Document number:
osu1555352793977171
Download Count:
209
Copyright Info
© 2019, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.