Epidermal antenna in palmar arch region for anaemia detection to avoid peripheral perfusion artifact in optical sensor during hemoglobin measurement

  • V. KannagiEmail author
  • A. Jawahar
Technical Paper


The anaemia disease diagnosed with various test such as complete blood count (CBC), ferritin measure, reticulocyte count, peripheral smear and blood gas analyser. The ferritin measure the storage and usage of iron in human body, reticulocyte count assess young red blood cell, and Peripheral smear analyse the cell colour, size, and shape of red blood cell through microscopic image. The blood gas analyser measures methemoglobin (MetHb) and carboxyhaemoglobin. Different test measure haemoglobin, since iron level show normal in blood for the patient with low total body iron. The iron deficiency never show symptom or sign in the human body. In this paper, we propose a new non-invasive method for anaemia measure through epidermal antenna over ulnar region of palm and acquire radiating signal from Haemoglobin protein. The acquired signal from epidermal antenna analysed with Transverse Dyadic Wavelet Transform for haemoglobin protein level in red blood cell. The epidermal antenna signal from ulnar region haemoglobin measurement avoids the peripheral perfusion artifact of optical or image sensor which arise during measurement. The experimental analysis show signal of epidermal antenna measure the haemoglobin more accurately, through regression modelling than existing optical and image based point of care device. Experimental result of haemoglobin measurement from ulnar region has validated with blood gas analyser.



  1. Al-Khabori M, Al-Riyami AZ, Al-Farsi K et al (2014) Validation of a non-invasive pulse CO-oximetry based haemoglobin estimation in normalblood donors. TransfusApher Sci 50(1):95–98Google Scholar
  2. Amendola S, Marrocco G (2017) Optimal performance of epidermal antennas for UHF radio frequency identification and sensing. IEEE Trans Antennas Propag 65(2):473–481CrossRefGoogle Scholar
  3. Baart AM, de Kort WL, van den Hurk K, Pasker-de Jong PC (2016) Haemoglobin assessment: precision and practicability evaluated in the Netherlands– the HAPPEN study. Transfusion 56(8):1984–1993CrossRefGoogle Scholar
  4. Cable RG, Steele WR, Melmed RS et al (2011) The difference between fingerstick and venous hemoglobin and hematocrit varies by sex and iron stores. Transfusion 52(5):1031–1040CrossRefGoogle Scholar
  5. Daae LN, Halvorsen S, Mathisen PM, Mironska K (1988) A comparison between haematological parameters in ‘capillary’ and venous blood from healthy adults. Scand J Clin Lab Invest 48:723–726Google Scholar
  6. Hayden SJ, Albert TJ, Watkins TR, Swenson ER (2012) Anemia in critical illness: insights into etiology, consequences, and management. Am J RespirCrit Care Med 185(10):1049–1057CrossRefGoogle Scholar
  7. Huang Xian et al (2014) Materials and designs for wireless epidermal sensors of hydration and strain. Adv Func Mater 24(25):3846–3854CrossRefGoogle Scholar
  8. Jacob G, Raj SR, Keitch T et al (2005) Postural pseudoanemia: posture dependent change in hematocrit. Mayo Clin Proc 80(5):611–614CrossRefGoogle Scholar
  9. Jeong J-W et al (2014) Capacitive epidermal electronics for electrically safe, long-term electrophysiological measurements. Adv Healthc Mater 3(5):642–648CrossRefGoogle Scholar
  10. Kim D-H, Lu N et al (2011) Epidermal electronics. Science 333(12):838–843CrossRefGoogle Scholar
  11. Paddle JJ (2002) Evaluation of the haemoglobin colour scale and comparison with the hemocue haemoglobin assay. Bull World Health Organ 80:813–816 [PubMed: 12471402] Google Scholar
  12. Quinto L, Aponte JJ, Menendez C, Sacarlal J, Aide P, Espasa M et al (2006) Relationship between haemoglobin and haematocrit in the definition of anaemia. Trop Med Int Health 11:1295–1302 [PubMed: 16903892] CrossRefGoogle Scholar
  13. Schalk E, Heim MU, Koenigsmann M, Jentsch-Ullrich K (2007) Use of capillary blood count parameters in adults. Vox Sang 93(4):348–353Google Scholar
  14. Shander A, Fink A, Javidroozi M, Erhard J, Farmer SL, Corwin H et al (2011) Appropriateness of allogeneic red blood cell, transfusion: the international consensus conference on transfusion, outcomes. Transfus Med Rev 25(232–246):e253Google Scholar
  15. Stott GJ, Lewis SM (1995) A simple and reliable method for estimating haemoglobin. Bull World Health Organ 73:369–373 [PubMed: 7614669] Google Scholar
  16. Sümnig A, Hron G, Westphal A et al (2015) The impact of noninvasive, capillary, and venous haemoglobin screening on donor deferrals andthe haemoglobin content of red blood cells concentrates: a prospective study. Transfusion 55(12):2847–2854CrossRefGoogle Scholar
  17. Wood EM, Kim DM, Miller JP (2001) Accuracy of predonation Hct sampling affects donor safety, eligibility, and deferral rates. Transfusion 41:353–359CrossRefGoogle Scholar
  18. Yang ZW, Yang SH, Chen L, Qu J, Zhu J, Tang Z (2001) Comparison of blood counts in venous, fingertip and arterial blood and their measurement variation. Clin Lab Haematol 23:155–159CrossRefGoogle Scholar

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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of ECER.M.K. College of Engineering and TechnologyChennaiIndia
  2. 2.Department of ECESSN College of EngineeringKalavakkamIndia

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