IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
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Design and Implementation of a Blood-Glucose Meter to Reduce Hematocrit Interference

적혈구 용적률 간섭 보정을 위한 혈당 측정 기기의 설계 및 구현

  • Received : 2020.06.29
  • Accepted : 2020.07.30
  • Published : 2020.08.31
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Abstract

A blood-glucose meter is one of the in vitro diagnostic devices to measure and control the glucose concentration of diabetics. In order to measure the glucose level in the blood, the common method is to measure the amount of electrons, that is, the output current generated by glucose oxidation after a blood sample is inserted into the test strip containing an enzyme. The hematocrit is an obstacle in measuring accurate blood glucose concentration. This paper deals with the design and implementation of a blood-glucose meter to correct the hematocrit interference. We propose a sequential method which measures impedance using the alternating current and then measures glucose in the blood using the direct current. In addition, this paper introduces how to use commercial glucose strips based on the proposed system. Finally, we conducted the performance evaluation of the proposed system by comparing the measured current and impedance with those of the references. As a result, the standard deviation of the current measurement is approximately 0.6nA and the impedance measurement error for measuring the hematocrit is approximately within 1%. The proposed system will improve the accuracy of the conventional blood-glucose meter by reducing the hematocrit interference.

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References

  1. J.D. Newman, A.P. Turner, "Home Blood Glucose Biosensors: A Commercial Perspective," Biosensors and bioelectronics, Vol. 20 , pp. 2435-2453, 2005. https://doi.org/10.1016/j.bios.2004.11.012
  2. S. Park, "Self-Monitoring Blood Meter: Is Your Glucose Meter Accurate?," The journal of Korean Diabetes, Vol. 16, No. 1, 2015. (in Korean)
  3. S. Kim, J. Kim, S. Park, "Glucose Motoring System, Self-testing," Medical Device Market Research Report, Vol. 8, 2013. (in Korean)
  4. A. Pfutzner, M. Mitri, P.B. Musholt, D. Sachsenheimer, M. Borchert, A. Yap, T. Forst, "Clinical Assessment of the Accuracy of Blood Glucose Measurement Devices," Current medical research and opinion, Vol. 28, pp. 525-531, 2012. https://doi.org/10.1185/03007995.2012.673479
  5. L. Heinemann, "Quality of Glucose Measurement with Blood Glucose Meters at the Point-of-care: Relevance of Interfering Factors," Diabetes technology & therapeutics, Vol. 12, pp. 847-857, 2010. https://doi.org/10.1089/dia.2010.0076
  6. G. Lanzola, E. Losiouk, S.D. Favero, A. Facchinetti, A. Galderisi, S. Quaglini, L. Magni, C. Cobelli, "Remote Blood Glucose Monitoring in mHealth Scenarios: A Review," Sensors, Vol. 16, pp. 1983, 2016.
  7. C. Matoschitz, R. Lurf, B. Robert, Manfred, "Energy Harvesting Based Glucose Sensor," International Conference on Wireless Mobile Communication and Healthcare (MobiHealth 2017), pp. 75-80, 2017.
  8. S. Ramljak, J. P. Lock, C. Schipper, P.B. Musholt, T. Forst, M. Lyon, A. Pfutzner, "Hematocrit Interference of Blood Glucose Meters for Patient Self-Measurement," Journal of Diabetes Science and Technology, 7, pp. 179-189, 2013. https://doi.org/10.1177/193229681300700123
  9. B. S. Karon, L. Griesmann, R. Scott, S. C. Bryant, J.A. Dubois, T.L. Shirey, S. Presti, P.J. Santrach, "Evaluation of the Impact of Hematocrit and Other Interference on the Accuracy of Hospital-based Glucose Meters." Diabetes technology & therapeutics 10.2, pp. 111-120. 2008. https://doi.org/10.1089/dia.2007.0257
  10. National Institute of Food and Drug Safety Evaluation, "Standard Test Guide Line of Blood-Glucose Monitoring System according to amended ISO15197," Apr. 2016. (in Korean)
  11. NXP, Kinetis KL46 microcontroller datasheet, https://www.nxp.com, 2016.
  12. TI, LM4041-N precision micropower shunt voltage reference, https://www.ti.com, 2016
  13. Analog Devices, AD5933 impedance converter, https://www.analog.com, 2017.
  14. K.P.S. Rana, V. Kumar, A.K. Dagar, A. Chandel, A. Kataria, "FPGA Implementation of Steinhart-hart Equation for Accurate Thermistor Linearization," IEEE sensors journal, Vol. 18, pp. 2260-2267, 2018. https://doi.org/10.1109/jsen.2018.2795098
  15. ISO, ISO 15197:2013 In vitro diagnostic test systems - Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus, 2013.