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Image-guided robotics for autonomous venipuncture

Descriptive

TitleInfo
Title
Image-guided robotics for autonomous venipuncture
Name (type = personal)
NamePart (type = family)
Chen
NamePart (type = given)
Alvin I.
NamePart (type = date)
1988-
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Alvin I. Chen
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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
NamePart (type = given)
Mark C
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Mark C Pierce
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Pantin
NamePart (type = given)
Enrique J
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Enrique J Pantin
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Advisory Committee
Role
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outside member
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Alam
NamePart (type = given)
Kaisar S
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Kaisar S Alam
Affiliation
Advisory Committee
Role
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outside member
Name (type = corporate)
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Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
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Text
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theses
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DateCreated (qualifier = exact)
2016
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2016-10
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2016
Place
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xx
Language
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eng
Abstract (type = abstract)
Performed over 1.5 billion times each year, venipuncture is the most ubiquitous clinical intervention and leading cause of medical injury in the United States. This dissertation describes the development of a medical device aimed at minimizing venipuncture-related adverse events by drawing blood and placing peripheral vascular catheters in an automated manner. The device may be particularly suited to challenging populations, including pediatric, geriatric, chronically-ill, and obese patients, for whom the rates of success depend heavily on practitioner skill. The device combines 3D near-infrared and ultrasound imaging, computer vision software, and a miniaturized dexterous robot that inserts the needle based on real-time image guidance. Methods to robustly segment, localize, and track the pose of the vessels are presented, and robotic prototypes capable of autonomously aligning and servoing the needle under real-time image guidance are introduced. In imaging studies on human volunteers spanning a broad range of demographic characteristics, the device was able to detect a majority of forearm veins that remained invisible to clinical visual assessment. In cannulation studies on in vitro and in vivo models, the device demonstrated significant improvements in first-stick accuracy and completion time compared to unassisted and image-guided manual venipuncture techniques. The results of these studies may be used to inform future clinical trials evaluating device feasibility in normal and difficult patient groups. Once translated, the device may be targeted to high-volume laboratory testing facilities and hospitals, and the underlying technologies may be extended to other diagnostic and interventional procedures, including automated point-of-care blood analysis, in-clinic and at-home hemodialysis venipuncture, peripherally-inserted central catheter placement, and emergency or military use.
Subject (authority = RUETD)
Topic
Biomedical Engineering
Subject (authority = ETD-LCSH)
Topic
Robotics in medicine
Subject (authority = ETD-LCSH)
Topic
Veins--Puncture
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_7600
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (xv, 256 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Alvin I. Chen
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3GX4DT0
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
Chen
GivenName
Alvin
MiddleName
I.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-09-22 01:12:32
AssociatedEntity
Name
Alvin Chen
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
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)
2016-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2017-10-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2017.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2016-09-27T17:57:44
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2016-09-27T17:57:44
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