Literature DB >> 11818011

Noninvasive total hemoglobin measurement.

Kye Jin Jeon1, Su-Jin Kim, Kun Kook Park, Jong-Won Kim, Gilwon Yoon.   

Abstract

Wavelength selection and prediction algorithm for determining total hemoglobin concentration are investigated. A model based on the difference in optical density induced by the pulsation of the heart beat is developed by taking an approximation of Twersky's theory on the assumption that the variation of blood vessel size is small during arterial pulsing. A device is constructed with a five-wavelength light emitting diode array as the light source. The selected wavelengths are two isobestic points and three in compensation for tissue scattering. Data are collected from 129 outpatients who are randomly grouped as calibration and prediction sets. The ratio of the variations of optical density between systole and diastole at two different wavelengths is used as a variable. We selected several such variables that show high reproducibility among all variables. Multiple linear regression analysis is made in order to predict total hemoglobin concentration. The correlation coefficient is 0.804 and the standard deviation is 0.864 g/dL for the calibration set. The relative percent error and standard deviation of the prediction set are 8.5% and 1.142 g/dL, respectively. We successfully demonstrate the possibility of noninvasive hemoglobin measurement, particularly, using the wavelengths below 1000 nm.

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Year:  2002        PMID: 11818011     DOI: 10.1117/1.1427047

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  7 in total

1.  Robust design of finger probe in non-invasive total haemoglobin monitor.

Authors:  G Yoon; S J Kim; K J Jeon
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

2.  Developing a Wireless, High Precision and Processing Speed Pulse Monitoring Headset Using Photoplethysmography.

Authors:  Yunhui Jiang; Jian Tang; Xiaoliang Wang; Chao Shen
Journal:  IEEE J Transl Eng Health Med       Date:  2017-10-20       Impact factor: 3.316

3.  Noninvasive Blood and Tissue Analysis: Raman Spectroscopy, One Perspective for Monitoring of Glucose and Beyond.

Authors:  Joseph Chaiken; Charles M Peterson
Journal:  J Diabetes Sci Technol       Date:  2020-10-21

Review 4.  Emerging point-of-care technologies for anemia detection.

Authors:  Ran An; Yuning Huang; Yuncheng Man; Russell W Valentine; Erdem Kucukal; Utku Goreke; Zoe Sekyonda; Connie Piccone; Amma Owusu-Ansah; Sanjay Ahuja; Jane A Little; Umut A Gurkan
Journal:  Lab Chip       Date:  2021-05-18       Impact factor: 6.799

5.  Quantification of total haemoglobin concentrations in human whole blood by spectroscopic visible-light optical coherence tomography.

Authors:  Colin Veenstra; Saskia Kruitwagen; Dafne Groener; Wilma Petersen; Wiendelt Steenbergen; Nienke Bosschaart
Journal:  Sci Rep       Date:  2019-10-22       Impact factor: 4.379

6.  Assessment of Photoplethysmography Method in Extraction of Hemoglobin Concentration.

Authors:  M Azarnoosh; H Doostdar
Journal:  J Biomed Phys Eng       Date:  2019-12-01

7.  Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations.

Authors:  Md Kamrul Hasan; Md Hasanul Aziz; Md Ishrak Islam Zarif; Mahmudul Hasan; Mma Hashem; Shion Guha; Richard R Love; Sheikh Ahamed
Journal:  JMIR Mhealth Uhealth       Date:  2021-04-08       Impact factor: 4.773

  7 in total

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