AUTOMATIC SYSTEM FOR BLOOD TYPE CLASSIFICATION USING IMAGE PROCESSING TECHNIQUES

Ana Ferraz, Vania Moreira, Diana Silva, Vítor Carvalho, Filomena O. Soares

Abstract

There is still not yet available a low-cost commercial equipment to determine blood types in an emergency situation. This paper presents the development of a low cost system, based on image processing techniques, that allows the automatic determination of human blood types in emergency situations. The experimental method is based on the plate test where the serums specifics of blood types determination are mixed with the sample blood of the donor. The mixtures blood/serums are captured through a CCD camera and analyzed using the software IMAQ Vision from National Instruments. The developed image processing methodology and the obtained results are detailed. The first prototype for automatic human blood determination is presented.

References

  1. Datasheet of Diamed AG,1785 Cressiers/Morat, Cressier, 2008.
  2. Datasheet of Diamed-ID Micro Typing System, Card-ID. Diaclon ABO\Rh for patients. Cressier, 2008.
  3. Alexander, S. P., 2007. An Integrated Microoptical Microfluidic Device for Agglutination Detection and Blood Typing [Master Thesis]. California: University of North of Carolina.
  4. Anthony, S. R., 2005. A Simplified Visible/Near-Infrared Spectrophotometric Approach to Blood Typing for Automated Transfusion Safety [Masters thesis]. California: University of North Carolina.
  5. Lambert, J. B., 2005. A Miniaturized Device for Blood Typing Using a Simplified Spectrophotometric Approach [Masters thesis]. California: University of North Carolina.
  6. Ferraz, A., Carvalho, V., Brandão, P., 2008. Determinação Automática do Tipo Sanguíneo de Humanos Utilizando Técnicas de Processamento de Imagem, CBIS 2008. Bazil: São Paulo.
  7. Ferraz, A., Carvalho, V., Brandão, P., 2010. Automatic Determination of Human Blood Types using Image Processing Techniques, BIODEVICES 2010. Spain: Valencia.
  8. IMAQ, 2004. IMAQ Vision Concepts Manual, National Instruments, Austin.
  9. Klinger, T., 2003. Image Processing with LabVIEW and IMAQ Vision, Prentice Hall. New Jersey.
  10. Relf, C. G., 2003. Image Acquisition and Processing with LabVIEW, CRC Press.
Download


Paper Citation


in Harvard Style

Ferraz A., Moreira V., Silva D., Carvalho V. and O. Soares F. (2011). AUTOMATIC SYSTEM FOR BLOOD TYPE CLASSIFICATION USING IMAGE PROCESSING TECHNIQUES . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011) ISBN 978-989-8425-37-9, pages 368-373. DOI: 10.5220/0003159003680373


in Bibtex Style

@conference{biodevices11,
author={Ana Ferraz and Vania Moreira and Diana Silva and Vítor Carvalho and Filomena O. Soares},
title={AUTOMATIC SYSTEM FOR BLOOD TYPE CLASSIFICATION USING IMAGE PROCESSING TECHNIQUES},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011)},
year={2011},
pages={368-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003159003680373},
isbn={978-989-8425-37-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011)
TI - AUTOMATIC SYSTEM FOR BLOOD TYPE CLASSIFICATION USING IMAGE PROCESSING TECHNIQUES
SN - 978-989-8425-37-9
AU - Ferraz A.
AU - Moreira V.
AU - Silva D.
AU - Carvalho V.
AU - O. Soares F.
PY - 2011
SP - 368
EP - 373
DO - 10.5220/0003159003680373