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Characterization of the flexor digitorum superficialis as a predictor of grasping strength
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
Characterization of the flexor digitorum superficialis as a predictor of grasping strength
Identifier
ETD_1522
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051069
Language
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(type = code)
eng
Genre
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theses
Subject
(ID = SBJ-1);
(authority = RUETD)
Topic
Biomedical Engineering
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Flexor tendons
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Grip strength
Abstract
The activity of forearm musculature during grasp has been studied by a variety of testing modalities in order to assess muscular conditions, predict grasping strength and control powered prosthetics. Myotonometry has been shown to correlate directly to changes muscle stiffness and tone for the assessment of muscle recovery but has no real time application and is limited to rehabilitative and physical therapy application. Of all testing modes Force Myography (FMG) is the only one that has demonstrated simultaneous multifunctional and multi degree of freedom control of prosthetic hands with sensors placed over the surface of the skin. These studies, however, were not able to identify magnitudes of individual muscle activation for control of volitional movement. In the present study a new testing modality is introduced, targeted Force Myography (tFMG). tFMG detects the change in radial pressure and stiffness of a single muscle during contraction through the voltage response of a single force sensing resistor (FSR) strapped above the muscle body intrinsically combined with the overall change in radial pressure of the harnessed body segment. In this study tFMG of the flexor digitorum superficialis is assessed during power grasp. The results correlate well to myotonometry, r2 = 0.86, and show the ability to predict a subject's level of muscle activation, r2 = 0.94 +/- .03. This was achieved through the development of inexpensive testing fixtures and methods in order to linearize and calibrate the voltage response curves of FSRs, making them an accurate and reliable tool in the assessment of grip force and forearm pressure. It is demonstrated here that tFMG results have the ability record the changing stiffness of the underlying muscle as well as predict grasping strength.
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electronic resource
Extent
vi, 55 p. : ill.
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application/pdf
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Note
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M.S.
Note
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Includes bibliographical references (p. 52-54)
Note
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by Adam Hersh Shain
Name
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Shain
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Adam Hersh
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Adam Hersh Shain
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Craelius
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Willaim
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chair
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Advisory Committee
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Willaim Craelius
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Drzewiecki
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Gary
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internal member
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Advisory Committee
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Gary Drzewiecki
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Newby
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Nicki
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outside member
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Advisory Committee
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Nicki Ann Newby
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NamePart
Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
OriginInfo
DateCreated
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(qualifier = exact)
2009
DateOther
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2009-01
Location
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NjNbRU
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Identifier
(type = doi)
doi:10.7282/T3RJ4JQ0
Genre
(authority = ExL-Esploro)
ETD graduate
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The author owns the copyright to this work.
Copyright
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Copyright protected
Availability
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Open
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Permission or license
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Non-exclusive ETD license
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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ETD
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application/x-tar
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1351680
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