Abstract
This paper shows the steps involved in the creation of a device capable of giving an approximate amount of red cells in blood, without the need of laboratory analysis tests. This device relies on the use of photo sensitive sensors such as a phototransistor and a red LED. As the intensity of the light varies, so does the amount of current flowing through the sensor. In consequence, this variation in electric current will cause a variation on the voltage drop across the connections of a resistor. Subsequently, this voltage drop will be read by a microcontroller that will calculate an approximate number for the amount of red cells. To achieved this some formulas were established that represent the relationship among the extreme points of a data group obtained during a sampling process in patients requiring hematic biometry studies.
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References
Verso, M.L.: The evolution of blood-counting techniques. Med. Hist. 8(2), 149–158 (1964)
Leukemia & Lymphoma Society Homepage. https://www.lls.org/. Accessed 20 Nov 2018
Mazalan, S.M., Mahmood, N.H., Razak, M.A.A.: Automated red blood cells counting in peripheral blood smear image using circular hough transform. In: 1st International Conference on Artificial Intelligence, Modelling and Simulation, pp. 320–324. IEEE, Kota Kinabalu (2013)
Kolhatkar, D., Wankhade, N.: Detection and counting of blood cells using image segmentation: a review. In: World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), pp. 1–5. IEEE, Coimbatore (2016)
González-Betancourt, A., Rodríguez-Ribalta, P., Meneses-Marcel, A., Sifontes-Rodríguez, S., Lorenzo-Ginori, J.V., Orozco-Morales, R.: Automated marker identification using the Radon transform for watershed segmentation. IET Image Proc. 11(3), 183–189 (2017)
Christy, N., Annalatha, M.: Computer aided system for human blood cell identification, classification and counting. In: Fourth International Conference on Biosignals, Images and Instrumentation, pp. 206–212. IEEE, Chennai (2018)
Acharya, V., Kumar, P.: Identification and red blood cell automated counting from blood smear images using computer-aided system. Med. Biol. Eng. Comput. 56(3), 483–489 (2018)
Pathak, M., Rawat, R., Singh, S., Thakur, R.: Fire figthing robot remotely controlled by android application. Int. J. Sci. Eng. Res. 5(5), 106–109 (2017)
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Quiñonez, Y., Almeraya, S., Almeraya, S., Reyna, J., Mejía, J. (2019). Design and Construction of a Semi-quantitative Estimator for Red Blood Cells in Blood as Support the Health Sector. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_23
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DOI: https://doi.org/10.1007/978-3-030-16184-2_23
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