Journal of Medical Systems

, 43:316 | Cite as

Non-Invasive Method to Estimate Red Blood Cell in Blood

  • Yadira QuiñonezEmail author
  • Said Almeraya
  • Selin Almeraya
  • Jorge Reyna
  • Jezreel Mejía
Patient Facing Systems
Part of the following topical collections:
  1. Health Information Systems & Technologies


This work proposes a non-invasive method to estimate the number of red blood cells in the blood. To achieve the development of this research, first, a photosensitive device was designed, which is formed by a phototransistor with a transparent casing allowing the red light coming from a red LED to penetrate the sensor. This means, that when the intensity of the light varies, the amount of current flowing through the sensor also changes. In consequence, this variation in electric current causes a variation on the voltage drop across the connections of a resistor, which is read by a microcontroller that calculates the number of red blood cells. Second, some formulas were established to represent the relationship between the extreme points of a data set obtained during a sampling process. Finally, to verify the device operation, a sampling process was performed in volunteer patients (range 18–84 years) with venous blood samples run on a laboratory hematology analyzer, a total 68 measurements were made to people of different ages and genders, of which 34 are females and 34 are males.


Red blood cells Microcontroller Phototransistor red LED Sensors Voltage 


Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Research involving human participants

Patient measurements were collected in accordance with the code of conduct of research with human material in the Mexico. The sampling process was made at the Dr. Martiniano Carvajal Hospital facilities in Sinaloa, Mexico. All subjects gave written informed consent.

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Universidad Autónoma de SinaloaMazatlánMexico
  2. 2.Instituto Tecnológico de MazatlánMazaltánMexico
  3. 3.Centro de Investigación en MatemáticasZacatecasMexico

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