Non-Invasive Method to Estimate Red Blood Cell in Blood.

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Title: Non-Invasive Method to Estimate Red Blood Cell in Blood.
Authors: Quiñonez, Yadira1 yadiraqui@uas.edu.mx, Almeraya, Said2 141000013@itmazatlan.edu.mx, Almeraya, Selin2 almerayamorales@hotmail.com, Reyna, Jorge2 reynajr@itmazatlan.edu.mx, Mejía, Jezreel3 jmejia@cimat.mx
Source: Journal of Medical Systems. Oct2019, Vol. 43 Issue 10, p1-10. 10p. 3 Color Photographs, 1 Diagram, 5 Charts, 3 Graphs.
Subjects: Erythrocytes, Electricity, Medical research, Personal computers, Photometry, Software architecture
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Non-Invasive Method to Estimate Red Blood Cell in Blood.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Systems%22">Journal of Medical Systems</searchLink>. Oct2019, Vol. 43 Issue 10, p1-10. 10p. 3 Color Photographs, 1 Diagram, 5 Charts, 3 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Erythrocytes%22">Erythrocytes</searchLink><br /><searchLink fieldCode="DE" term="%22Electricity%22">Electricity</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research%22">Medical research</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+computers%22">Personal computers</searchLink><br /><searchLink fieldCode="DE" term="%22Photometry%22">Photometry</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink>
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  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10916-019-1447-6
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        Text: English
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      – SubjectFull: Erythrocytes
        Type: general
      – SubjectFull: Electricity
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      – SubjectFull: Medical research
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      – SubjectFull: Personal computers
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      – SubjectFull: Photometry
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      – SubjectFull: Software architecture
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              Text: Oct2019
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              Y: 2019
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