Automated ABO Rh-D blood type detection using smartphone imaging for point-of-care medical diagnostics

We present a novel methodology for automated ABO Rh-D blood typing using simple morphological image processing algorithms to be used in conjunction with a fabric strip based rapid diagnostic test. Images of the fabric strip post testing are acquired using low cost mobile phones and the proposed algo...

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Bibliographic Details
Published in2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2016; pp. 4345 - 4348
Main Authors Srivathsa, Neha, Dendukuri, Dhananjaya
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.08.2016
Subjects
ABO Blood-Group System - immunology
Algorithms
Antibodies - immunology
Automation
Blood
Blood Grouping and Crossmatching - instrumentation
Blood Grouping and Crossmatching - methods
Fabrics
Filtering
Humans
Image color analysis
Image Processing, Computer-Assisted
Mobile handsets
Point-of-Care Systems
Rh-Hr Blood-Group System - immunology
Smartphone
Strips
Testing
Online AccessGet full text
ISSN1557-170X
DOI10.1109/EMBC.2016.7591689

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Summary:We present a novel methodology for automated ABO Rh-D blood typing using simple morphological image processing algorithms to be used in conjunction with a fabric strip based rapid diagnostic test. Images of the fabric strip post testing are acquired using low cost mobile phones and the proposed algorithm proceeds to automatically identify the blood type by processing the images using steps comprising of noise reduction, range filtering and empirically derived heuristics. The ultimate goal is to provide a simple mobile phone application to enable automated, rapid and accessible blood type detection at the point-of-care.
ISSN:1557-170X
DOI:10.1109/EMBC.2016.7591689