Volume 6, Issue 4 (12-2018)                   Jorjani Biomed J 2018, 6(4): 19-28 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Azarnoosh M, Doostdar Noghabi H. Increasing the Accuracy of Blood Hematocrit Measurement by Triplicate Wavelength Photoplethysmography Method. Jorjani Biomed J. 2018; 6 (4) :19-28
URL: http://goums.ac.ir/jorjanijournal/article-1-591-en.html
1- Department of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran. , m_azarnoosh@mshdiau.ac.ir
2- Department of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Abstract:   (5265 Views)
Background and objectives: The importance of continuous monitoring and rapid and accurate informing of changes in blood components (e.g., percentage of hematocrit [HCT]), especially in acute conditions, has motivated researchers to use non-invasive measurement methods. Therefore, this study aimed to evaluate the association between blood HCT and photoplethysmographic signal and the possibility of increasing the accuracy of its measurement by optical method at three specific wavelengths.
Methods: In this study, photoplethysmographic signals were recorded at three different wavelengths for 25 male and female subjects (mean age of 37.56±10.40 years), who referred to the laboratory to assess their blood HCT percentage. We extracted the peak value of the signal after calibrating a special probe with a standard pulse oximetry system and applying the necessary preprocesses on the received signal. Eventually, in addition to the estimation of HCT level, we assessed the level of correlation between the optical method results and laboratory data applying Pearson’s, Kendall’s, and Spearman’s correlation coefficients.
Results: Comparison of HCT measurement by the optical method and reference levels measured by standard laboratory technique in 25 subjects showed a mean error of 0.6±0.25%. In addition, evaluation of the relationship between data of the percentage of laboratory HCT with mean of 43.43±3.43 and data obtained by photoplethysmographic signals with mean of 43.31±3.27 by three Pearson’s, Kendall’s, and Spearman’s methods demonstrated that the data of the two techniques had a significant correlation of 0.949, 0.860, and 0.955, respectively (P<0.01).
Conclusion: Given the high correlation of characteristics of the photoplethysmographic signal at three wavelengths with blood HCT and level of accuracy of our findings, the proposed method could be exploited for accurate, clean and cost-effective monitoring of HCT level.
Full-Text [PDF 714 kb]   (1480 Downloads)    
Type of Article: Original article | Subject: General medicine
Received: 2018/09/20 | Accepted: 2018/11/5 | Published: 2018/12/11

1. Jedrzejewska-Szczerska M and Gnyba M. Optical investigation of hematocrit level in human blood. Optical and Acoustical Methods in Science and Technology. 2011;120. [DOI:10.12693/APhysPolA.120.642]
2. Iftimia NV, Hammer DX, Bigelow CE. Toward noninvasive measurement of blood hematocrit using spectral domain low coherence interferometry and retinal tracking. Optical Society of America. 2006;14(8). [DOI:10.1364/OE.14.003377]
3. Xu X, Chen Z. Evaluation of hematocrit measurement using spectral domain optical coherence tomography. Proc. International Conference on BioMedical Engineering and Informatics Sanya. 2008;615-8. [DOI:10.1109/BMEI.2008.280]
4. Secomsky W, Nowicki A, Guidi F, Tortoli P, and Lewin PA. Non-invasive measurement of blood hematocrit in artery. Bulletin of the Polish Academy of Sciences. 2005;53(3):245-50.
5. Enejder A, Koo T, Oh J, Hunter M, Sasic S, Feld M. Blood analysis by Raman spectroscopy, Optics Lett. 2002;27:2004-6. [DOI:10.1364/OL.27.002004]
6. Sakudo A, Kato YH, Kuratsune H, Ikuta K. Non-invasive prediction of hematocrit levels by portable visible and near-infrared spectrophotometer. Clinica Chimica Acta. 2009; 408:123-7. [DOI:10.1016/j.cca.2009.08.005]
7. Schmitt JM, Zhou X, Miller J. Measurement of blood hematocrit by dual-wavelength near-IR photoplethysmography. SPIE Vol 1641. 1992; 150-61. [DOI:10.1117/12.59360]
8. Timm U, Lewis E, McGrath D, Kraitl J, Ewald H. LED Based Sensor System for Non-Invasive Measurement of the Hemoglobin Concentration in Human Blood. IFMBE Proceedings. 2008;23:825- 8. [DOI:10.1007/978-3-540-92841-6_203]
9. Timm U, Lewis E, McGrath D, Kraitl J, Ewald H. Sensor System Concept for Non-Invasive Blood Diagnosis. Procedia Chemistry 1. 2009;493-6. [DOI:10.1016/j.proche.2009.07.123]
10. Aldrich TK, Moosikasuwan M, Shah SD, Deshpande KS. Length-normalized pulse photoplethysmography: a noninvasive method to measure blood hemoglobin. Ann Biomed Eng. 2002;30:1291-8. [DOI:10.1114/1.1527046]
11. Jeon KJ, Kim SJ, Park KK, Kim JW, Yoon G. Noninvasive total hemoglobin measurement. .J Biomed Opt. 2002;7:45-50. [DOI:10.1117/1.1427047]
12. Doshi R, Panditrao A. Non-Invasive Optical Sensor for Hemoglobin Determination. International Journal of Engineering Research and Applications (IJERA). 2013;3:559-62.
13. Kraitl J, Ewald H and Gehring H. An optical device to measure blood components by a photoplethysmographic method. J. Opt. A: Pure Appl. Opt. 2005;7:S318-24. [DOI:10.1088/1464-4258/7/6/010]
14. Kraitl J, Ewald H. Results of hemoglobin concentration measurements in whole blood with an optical non-invasive method. Photon, Optics and Photonics, IOP Conference. 2008.
15. US6606509B2. Method and apparatus for improving the accuracy of noninvasive hematocrit measurements. Schmitt JM. 2001.
16. US7011631. Noninvasive method of measuring blood density and hematocrit. Hemonix Inc. 2006.
17. US6662031. Method and device for the noninvasive determination of hemoglobin and hematocrit. Abbott Laboratories. 2003.
18. US6304767. Non-invasive optical measurement of blood hematocrit. Polestar Technologies. 2001.
19. Krystian E. Spectroscopic and wireless sensor of hematocrit level. Procedia Engineering. 2012;47:156-9. [DOI:10.1016/j.proeng.2012.09.108]
20. Hiraokatq M, Firbankt M, Essenpreist M, Copet M, Anidget SR, Zees P, Delpyt DT. A Monte Carlo investigation of optical path length in inhomogeneous tissue and its application to near-infrared spectroscopy. Phys. Med. Biol. 1993;38:1859-76. [DOI:10.1088/0031-9155/38/12/011]

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | Jorjani Biomedicine Journal

Designed & Developed by : Yektaweb