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Robotic devices for automated venipuncture and diagnostic blood analysis

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TitleInfo
Title
Robotic devices for automated venipuncture and diagnostic blood analysis
Name (type = personal)
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Balter
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Max Loeb
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1989-
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Max Loeb Balter
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author
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Yarmush
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Martin l
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Martin l Yarmush
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Advisory Committee
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chair
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Maguire
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Timothy J
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Timothy J Maguire
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Advisory Committee
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internal member
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Pierce
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Mark
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Mark Pierce
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Advisory Committee
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internal member
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Nikitczuk
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Kevin
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Kevin Nikitczuk
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Advisory Committee
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outside member
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Rutgers University
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degree grantor
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Graduate School - New Brunswick
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theses
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2017
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2017-05
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2017
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xx
Language
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eng
Abstract (type = abstract)
Diagnostic blood testing is the most ubiquitous clinical procedure in the world, and influences 80% of medical decisions made in hospital, ambulatory, and primary care settings. However, manual blood draw success rates depend heavily on clinician skill and patient physiology, and results are generated almost exclusively in centralized labs from large-volume samples using labor-intensive analytical techniques. This dissertation describes the development of a medical device that enables complete end-to-end blood testing by performing blood draws and providing diagnostic results in fully automated fashion. The device couples an image-guided venipuncture robot, to address the challenges of routine venous access, with a centrifuge-based blood analyzer to obtain quantitative measurements of hematology within minutes of the sample collection. The system uses 3D near-infrared and ultrasound imaging to guide the robotic needle insertion, a sample handling module to deliver the sample to the processing unit, and an analyzer capable of performing multi-analyte detection. In a series of engineering tests, phantom studies, and motion tracking experiments, the venipuncture robot demonstrated sub-millimeter accuracy, real-time needle servoing in response to moving targets, and improved cannulation success rates compared to manual techniques. Multi-analyte detection was then demonstrated on the blood analyzer through white blood cell counting using a bulk-cell analysis approach, and an absorption-based hemoglobin assay. Once translated, this technology has the potential to impact a number of clinical environments, including laboratory testing facilities, pediatric hospitals, oncology care centers, and emergency settings. The underlying technological advancements cover a spectrum of research disciplines, including hematology and diagnostic medicine, optics and microfluidics, as well as robotics and medical device development.
Subject (authority = RUETD)
Topic
Biomedical Engineering
Subject (authority = ETD-LCSH)
Topic
Robotics in medicine
Subject (authority = ETD-LCSH)
Topic
Veins--Puncture
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Rutgers University Electronic Theses and Dissertations
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ETD_7910
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electronic resource
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Extent
1 online resource (xviii, 279 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Max Loeb Balter
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
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Identifier (type = doi)
doi:10.7282/T3XG9TZ6
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Balter
GivenName
Max
MiddleName
Loeb
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-03-28 12:55:22
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Name
Max Balter
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Affiliation
Rutgers University. Graduate School - New Brunswick
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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.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2017-11-30
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2017.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2017-03-28T10:58:20
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