Microcontroller based in vitro hematocrit measurement system

Sinan Salim Mohammed sheet, Mohammed Sabah Jarjees


The hematocrit (HCT) is the most important measurement in the blood profile. It has been used for early diagnose of the specific blood diseases such as anaemia, leukaemia and malaria. The microhematocrit is the conventional method of measurement of HCT manually which is time-consuming and uncertain due to human error. An automated system for measuring hematocrit will minimize the human-error and the time which will give the ability for medical staff to serve more patients. This paper aims to demonstrate an automated system for measuring the HCT based on microcontroller. The designed system based on Arduino Atmega 2560 microcontroller and combination array of lighting emitting diode and photodetectors. The transmission and the absorption characteristics of the red light (660nm) through the centrifuged blood sample in a capillary tube are calculated and used to determine the HCT. The outputs are analyzed to determine the haemoglobin (HB) and packed cell volume (PCV). The significant correlation (r=0.9856, p=3.106*10-4) between the PCV readings of the proposed system and the conventional method has been observed. The most important finding is the precise of PCV and HB readings for the proposed system compared with previous automated methods as well as the conventional method have been obtained.


Hematocrit, Hemoglobin, Packed Cell Volume, Microcontroller


S. McKew, I. Bates, and E. Olayemi, “Hematologic Diseases,” in Hunter’s Tropical Medicine and Emerging Infectious Disease, Tenth Edit., Elsevier Inc., 2019, pp. 34–43.

J. F. Friedman and K. Tolentino, “An update on anemia in less developed countries,” Am. J. Trop. Med. Hyg., vol. 77, no. 1, pp. 44–51, 2007.

J. A. H. Young, “Management of Infectious Diseases in Stem Cell Transplantation and Hematologic Malignancy,” Infect. Dis. Clin. North Am., vol. 33, no. 2, pp. xiii–xv, 2019.

P. L. Greenberg, V. Gordeuk, S. Issaragrisil, N. Siritanaratkul, S. Fucharoen, and R. C. Ribeiro, “Major hematologic diseases in the developing world- new aspects of diagnosis and management of thalassemia, malarial anemia, and acute leukemia.,” Hematology, pp. 479–498, 2001.

A. Tefferi, C. A. Hanson, and D. J. Inwards, “How to Interpret and Pursue an Abnormal Complete Blood Cell Count in Adults,” Mayo Clin Proc., vol. 80, no. 7, pp. 923–936, 2005.

R. A. McINROY, “A micro-haematocrit for determining the packed cell volume and haemoglobin concentration on capillary blood.,” J. Clin. Pathol., vol. 7, no. 1, pp. 32–36, 1954.

M. Venkata Dasu and P. Subbaiah, “Leukaemia Detection in Microscopic Imagery using Optimization Algorithm,” Int. J. Eng. Technol., vol. 7, no. 2.24, p. 299, 2018.

G. Gebretsadkan, K. Tessema, H. Ambachew, and M. Birhaneselassie, “The Comparison between Microhematocrit and Automated Methods for Hematocrit Determination,” Int J Blood Res Disord, vol. 2, p. 1, 2015.

R. Dey, K. Roy, D. Bhattacharjee, M. Nasipuri, and P. Ghosh, “An automated system for measuring hematocrit level of human blood from total RBC count,” 2016 Int. Conf. Adv. Comput. Commun. Informatics, ICACCI 2016, pp. 2273–2279, 2016.

P. S. Chari and S. Prasad, “Pilot Study on the Performance of a New System for Image Based Analysis of Peripheral Blood Smears on Normal Samples,” Indian J. Hematol. Blood Transfus., vol. 34, no. 1, pp. 125–131, 2018.

N. S. Fatonah, H. Tjandrasa, and C. Fatichah, “Automatic Leukemia Cell Counting using Iterative Distance Transform for Convex Sets,” Int. J. Electr. Comput. Eng., vol. 8, no. 3, pp. 1731–1740, 2018.

R. Supriyanti, A. Chrisanty, Y. Ramadhani, and W. Siswandari, “Computer Aided Diagnosis for Screening the Shape and Size of Leukocyte Cell Nucleus based on Morphological Image,” Int. J. Electr. Comput. Eng., vol. 8, no. 1, pp. 150–158, 2018.

N. Chatap and S. Shibu, “Analysis of blood samples for counting leukemia cells using Support vector machine and nearest neighbour,” IOSR J. Comput. Eng., vol. 16, no. 5, pp. 79–87, 2014.

E. Hussein and A. Enein, “Clinical and Quality Evaluation of Red Blood Cell Units Collected Via Apheresis Versus Those Obtained Manually,” Lab Med., vol. 45, no. 3, pp. 238–243, 2014.

L. K. Goodhead and F. M. Macmillan, “Measuring osmosis and hemolysis of red blood cells,” Adv Physiol Educ, vol. 41, pp. 298–305, 2019.

B. J. Kim, Y. S. Lee, A. Zhbanov, and S. Yang, “A physiometer for simultaneous measurement of whole blood viscosity and its determinants: hematocrit and red blood cell deformability,” Analyst, vol. 144, no. 9, pp. 3144–3157, 2019.

M. M. A. Jamil, L. Oussama, W. M. Hafizah, M. H. A. Wahab, and M. F. Johan, Computational Automated System for Red Blood Cell Detection and Segmentation. Elsevier Inc., 2019.

A. ELEN and M. K. TURAN, “Classifying White Blood Cells Using Machine Learning Algorithms,” Uluslararası Muhendis. Arastirma ve Gelistirme Derg., vol. 11, no. 1, pp. 141–152, 2019.

W. A. Salah and B. A. Zneid, “Evolution of microcontroller-based remote monitoring system applications,” Int. J. Electr. Comput. Eng., vol. 9, no. 4, pp. 2354–2364, 2019.

H. F. J. Baban and S. M. H. Yaseen, “Design and Implementation of PCV Device Based on Arduino Board,” J. Al-Nahrain Univ., vol. 19, no. 4, pp. 16–20, 2016.

H. H. Billett, “Hemoglobin and Hematocrit,” in Clinical Methods: The History, Physical, and Laboratory Examinations., 3rd editio., H. J. Walker HK, Hall WD, Ed. Boston: Butterworths, 1990, pp. 718–719.

J. V. Corbett and A. D. Banks, Laboratory tests and diagnostic procedures: with nursing diagnoses. 2013.

B. S. Bull, J. A. Koepke, E. Simson, and O. W. Van Assendelft, “Procedure for Determining Packed Cell Volume by the Microhematocrit Method; Approved Standard,” in Clinical and labrotory Standards Institute, Third Edit., vol. 20, no. 18, 2001.

B. S. Bull, K. Fujimoto, B. Houwen, G. Klee, L. Van Hove, and O. W. Van Assendelft, “International Council for Standardization in Haematology ( ICSH ) Recommendations for ‘ Surrogate Reference ’ Method for the Packed Cell Volume Table of Contents,” Lab. Hematol., vol. 9, pp. 1–9, 2003.

A. Nayyar and V. Puri, “A Review of Arduino Board’s, Liypad’s and Arduino Shields,” in 3rd International Conference on Computing for Sustainable Global Development (INDIACom), 2016, pp. 1485–1492.

S. T. Avecilla et al., “Comparison of Manual Hematocrit Determinations vs Automated Methods for Hematopoietic Progenitor Cell Apheresis Products,” J Autism Dev Disord, vol. 47, no. 3, pp. 549–562, 2017.

DOI: http://doi.org/10.11591/ijeecs.v18.i2.pp%25p
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