Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

LED and CMOS image sensor based hemoglobin concentration measurement technique

Authors
Kim, Dong-SikChoi, Jae-HoonNam, Myung-HyunYang, Ji-WoonPak, James JunghoSeo, Sungkyu
Issue Date
20-9월-2011
Publisher
ELSEVIER SCIENCE SA
Keywords
Hemoglobin concentration measurement; LED; CMOS image sensor; Spectrophotometry; Blood analysis
Citation
SENSORS AND ACTUATORS B-CHEMICAL, v.157, no.1, pp.103 - 109
Indexed
SCIE
SCOPUS
Journal Title
SENSORS AND ACTUATORS B-CHEMICAL
Volume
157
Number
1
Start Page
103
End Page
109
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/111572
DOI
10.1016/j.snb.2011.03.032
ISSN
0925-4005
Abstract
This paper presents a technique that can provide accurate hemoglobin concentration measurement within a simple, cost-effective and compact platform. It is based on a LED and CMOS image sensor without using an environmentally harmful reagent and centrifugal process. The acquired standard curve and adequate image processing steps such as image calibration and noise suppression allow us to accurately estimate the hemoglobin concentration at an error rate of less than 2% for blind tests conducted with the 33 blood specimens of outpatients. The hemoglobin concentration measurement, one of the crucial part of the complete blood count (CBC) as well as the most commonly ordered test in clinical laboratory, within such a small, cheap and fast platform would be useful for wide applications in doctor's office and for applications in resource limited settings as a point-of-care testing tool. (C) 2011 Elsevier B.V. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Biomedical Sciences > 1. Journal Articles
College of Medicine > Department of Medical Science > 1. Journal Articles
Graduate School > Department of Electronics and Information Engineering > 1. Journal Articles
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Dong Sik photo

Kim, Dong Sik
의과학과
Read more

Altmetrics

Total Views & Downloads

BROWSE