NDLI: Support Vector Machine for Hematocrit Density Estimation Based on Changing Patterns of Transduced Anodic Current

Content Provider	IEEE Xplore Digital Library
Author	JunSeok Park Hieu Trung Huynh Yonggwan Won
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Eng., Chonnam Nat. Univ., Gwangju (JunSeok Park; Hieu Trung Huynh; Yonggwan Won)
Abstract	In measuring the glucose density in the whole blood by handheld devices, the hematocrit is one of the most highly influencing factors. Since the hematocrit dependency should be appropriately controlled for accurate measurement of glucose density, information regarding hematocrit should be obtained at reasonable cost. This paper introduces an approach for hematocrit estimation from the transduced anodic current curves using support vector machine. These current curves are produced by glucose-oxidase reaction in the strip-type electrochemical biosensors which is commercially available. The support vector machine used in this paper was trained for regression with the target value of accurate glucose values measured by a hospital analysis system. This method can obtain an acceptable result that can be used to reduce the dependency of hematocrit in the measurement of glucose values in the whole blood with hand-held meters.
Starting Page	456
Ending Page	460
File Size	307969
Page Count	5
File Format	PDF
ISBN	9780769534077
DOI	10.1109/ICCIT.2008.213
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-11
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Density measurement hematocrit Frequency estimation Function approximation Blood SVR Support vector machines Handheld computers Hospitals support vector machine hematocrit estimation Machine learning Biosensors Sugar transduced anodic current
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Hematocrit Estimation from Transduced Current Patterns Using Single Hidden Layer Feedforward Neural Networks

Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns

Non-linear Estimation Methods for Hematocrit Density based on Changing Pattern of Transduced Anodic Current Curve

Multiscale wavelet support vector machine for image approximation

Hybrid penetration depth computation using local projection and machine learning

Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative

Model selection for Support Vector Machines based on kernel density estimation

Comparison of nonlinear methods for hematocrit estimation from the transduced anodic current curve

Support Vector Regression Estimation Based on Non-uniform Lost Function

Support Vector Machine for Hematocrit Density Estimation Based on Changing Patterns of Transduced Anodic Current

Similar Documents

Hematocrit Estimation from Transduced Current Patterns Using Single Hidden Layer Feedforward Neural Networks

Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns

Non-linear Estimation Methods for Hematocrit Density based on Changing Pattern of Transduced Anodic Current Curve

Multiscale wavelet support vector machine for image approximation

Hybrid penetration depth computation using local projection and machine learning

Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative

Model selection for Support Vector Machines based on kernel density estimation

Comparison of nonlinear methods for hematocrit estimation from the transduced anodic current curve

Support Vector Regression Estimation Based on Non-uniform Lost Function

Support Vector Machine for Hematocrit Density Estimation Based on Changing Patterns of Transduced Anodic Current