Staff View
Non-Invasive Glucose Monitoring: A Novel Approach

Descriptive

TypeOfResource
Text
TitleInfo
Title
Non-Invasive Glucose Monitoring: A Novel Approach
Identifier (type = PMCID)
PMC2771521
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore30101200001.Manuscript.000050454
Identifier (type = doi)
doi:10.7282/T34M92WF
Language
LanguageTerm (authority = ISO 639-3:2007)
English
Genre (authority = RULIB-FS)
articles
Genre (authority = NISO JAV)
Version of Record (VoR)
Subject (authority = local)
Topic
noninvasive glucose monitoring
Subject (authority = local)
Topic
self-monitoring of blood glucose
Subject (authority = local)
Topic
ear clip
Subject (authority = local)
Topic
combination methodology
Subject (authority = lcsh)
Topic
Patient self-monitoring
Subject (authority = lcsh)
Topic
Blood sugar monitoring
Subject (authority = lcsh)
Topic
Diagnosis, Noninvasive
Abstract (type = abstract)
Background: The main concern in noninvasive (NI) glucose measurement is achieving high accuracy readings, although no blood (or other fluid) is involved in the process. Using methods based on different physical properties of a measured object can ensure the independence of each of the readings and therefore improve the validity of the end result. By using a combination of (three) independent technologies—ultrasonic, electromagnetic, and thermal—GlucoTrack™ presents a unique approach for a real-time, truly NI blood glucose spot measurement. Methods: Clinical trials were performed in two stages. Stage 1 was an initial method validation and performance verification of the device. In this stage, 50 type 1 and 2 diabetic patients, as well as healthy subjects, were evaluated with GlucoTrack against Ascensia Elite® (Bayer). In the second stage, 85 additional diabetic subjects were evaluated in half and full daytime sessions using a GlucoTrack comparison with HemoCue® (Glucose 201+). Results: A total of 135 subjects were tested during the trial period, producing 793 data pairs. Using Clarke error grid analysis, 92% of the readings fell in the clinically acceptable zones A and B, with 50% in the A zone. Mean and median relative absolute differences were 29.9 and 19.9%, respectively. Conclusions: Integrating several modalities for NI assessment of glucose level enables more accurate readings, while a possible aberration in one modality is bypassed by the others. The present generation of GlucoTrack gives promising results; however, further improvement of the accuracy of the device is needed.
PhysicalDescription
Extent
8 pages
InternetMediaType
application/pdf
Note (type = publisherStatement)
The published version of this article is available at http://www.journalofdst.org/amember/plugins/protect/new_rewrite/login.php?v=-any&url=/March2009/Articles/VOL-3-2-SYM4-HARMAN-BOEHM.pdf%3f
Name (type = personal)
NamePart (type = family)
Harman-Boehm
NamePart (type = given)
Ilana
Role
RoleTerm (authority = marcrt); (type = text)
author
Affiliation
Soroka University Medical Center
Name (type = personal)
NamePart (type = family)
Gal
NamePart (type = given)
Avner
Role
RoleTerm (authority = marcrt); (type = text)
author
Affiliation
Integrity Applications Ltd.
Name (type = personal)
NamePart (type = family)
Raykhman
NamePart (type = given)
Alexander M.
Role
RoleTerm (authority = marcrt); (type = text)
author
Affiliation
InESA Inc.
Name (type = personal)
NamePart (type = family)
Zahn
NamePart (type = given)
Jeffrey D.
Role
RoleTerm (authority = marcrt); (type = text)
author
Affiliation
Biomedical Engineering, Rutgers University
Name (type = personal)
NamePart (type = family)
Naidis
NamePart (type = given)
Eugene
Role
RoleTerm (authority = marcrt); (type = text)
author
Affiliation
Integrity Applications Ltd.
Name (type = personal)
NamePart (type = family)
Mayzel
NamePart (type = given)
Yulia
Role
RoleTerm (authority = marcrt); (type = text)
author
Affiliation
Integrity Applications Ltd.
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Biomedical Engineering
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Engineering
OriginInfo
Publisher
Diabetes Technology Society
DateIssued (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2009
RelatedItem (type = host)
TitleInfo
Title
Zahn, Jeffrey
Identifier (type = local)
rucore30101200001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2009
AssociatedObject
Type
Journal
Relationship
Has part
Name
Journal of Diabetes Science Technology
Identifier (type = volume and issue)
3(2)
Reference (type = digital)
http://dx.doi.org/10.1177/193229680900300205
Detail
253-260
Back to the top

Rights

RightsDeclaration (AUTHORITY = FS); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Zahn
GivenName
Jeffrey
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
Back to the top

Technical

ContentModel
Manuscript
MimeType (TYPE = file)
application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
2764800
Checksum (METHOD = SHA1)
a94165239067552680974cfa8329f0c520d18724
Back to the top
Version 8.3.10
Rutgers University Libraries - Copyright ©2019