Noninvasive Hematocrit Monitoring Based on Parameter-optimization of a LED Finger Probe

Yoon, Gilwon; Jeon, Kug Jin

doi:10.3807/josk.2005.9.3.107

Cited by 11 publications

(7 citation statements)

References 9 publications

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“…The main downfall of using this method is that at 1300nm, the absorption of water is the dominant factor and water is present across the human body, not only in blood which highly attenuates the transmitted light intensity. Continuing the work of [9], new approaches used arrays of multiple wavelengths and tested haematocrit detection in-vivo on 43 [18] and 549 [19], [20] people showing a correlation coefficient of over 0.68. This work aimed to design a sensor that combines the multiwavelength approach with the original landmark proposal for 2 isosbestic wavelengths by creating a 4-wavelength array.…”

Section: Estimation Of Physiological Parameters From Ppgmentioning

confidence: 99%

A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings

Karolcik

Ming

Yacoub

et al. 2023

IEEE Trans. Biomed. Circuits Syst.

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This paper presents a novel PPG acquisition platform capable of synchronous multi-wavelength signal acquisition from two measurement locations with up to 4 independent wavelengths from each in parallel. The platform is fully configurable and operates at 1ksps, accommodating a wide variety of transmitters and detectors to serve as both a research tool for experimentation and a clinical tool for disease monitoring. The sensing probes presented in this work acquire 4 PPG channels from the wrist and 4 PPG channels from the fingertip, with wavelengths such that surrogates for pulse wave velocity and haematocrit can be extracted. For conventional PPG sensing, we have achieved the mean error of 4.08 ± 3.72 bpm for heart-rate and a mean error of 1.54 ± 1.04% for SpO2 measurement, with the latter lying within the FDA limits for commercial pulse oximeters. We have further evaluated over 700 individual peak-to-peak time differences between wrist and fingertip signals, achieving a normalized weighted average PWV of 5.80 ± 1.58 m/s, matching with values of PWV found for this age group in literature. Lastly, we introduced and computed a haematocrit ratio (R hct ) between the deep IR and deep red wavelength from the fingertip sensor, finding a significant difference between male and female values (median of 1.9 and 2.93 respectively) pointing to devices sensitivity to Hct.

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Section: Estimation Of Physiological Parameters From Ppgmentioning

confidence: 99%

A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings

Karolcik

Ming

Yacoub

et al. 2023

IEEE Trans. Biomed. Circuits Syst.

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“…It is known that blood is a light-scattering and absorbing medium. Therefore, to quickly determine its parameters, it is natural to use optical photometric methods, which allow for the quantitative analysis of substances without a distorting effect on their properties, and are the most acceptable in terms of accuracy and automation [21,22].…”

Section: Theoretical Aspectsmentioning

confidence: 99%

Analysis of Polarization Images in the Microphysical Blood Parameters Research for the Hematocrit Diagnostics

et al. 2022

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The development of non-invasive optoelectronic technologies for human blood monitoring is one of the important research areas for medicine. A critical analysis of optoelectronic methods of blood research and the micromechanical systems based on them is carried out in this article. A design realization of a polarizing portable system for non-invasive monitoring of hematocrit as one of the basic homeostatic constants of the human body containing information about the microphysical parameters of blood cells has been substantiated. A physical model of polarized radiation conversion in a video information system of laser sensing of a biological research object has been formed. Visual and quantitative differences in the spatial distribution of polarization parameters of the scattered radiation for the states of the body with different hematocrit levels have been revealed. A scheme of a multichannel imaging portable system, based on a smartphone using miniature optical and microelectronic components of information conversion for non-invasive monitoring of microphysical blood parameters, has been created. The system implements the principle of polarimetric blood photometry and a multiparametric analysis of the polarization properties of the laser radiation scattered by blood. The developed portable optoelectronic system, based on a smartphone, can be used for rapid blood diagnostics in disaster medicine and the presence of clinical contraindications to the formation of invasive tests. The proposed polarization-based approach is a promising automated alternative to traditional devices and systems for the research of microphysical blood parameters.

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“…26 Implementing Twersky's algorithm combining absorption at two wavelengths produces measurements of either Hct or Hgb concentration with a standard deviation of 8.5%. [27][28][29] PVOH routinely measures physiological variations of Hct of 0.25% so the standard deviation of the measurements must be better than that. Our current estimate indicates that PVOH can measure a change of Hct of ±0.07 on a Hct of 28 in 3 s. 30 Furthermore, if one chooses to exclude the possibility of obtaining Raman information, then the entire PVOH unit can be implemented as a one laser-2 single-channel detector unit, as small and light as any pulse oximeter.…”

Section: Enter Raman Spectroscopymentioning

confidence: 99%

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

Chaiken

2020

J Diabetes Sci Technol

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Noninvasive in vivo blood and tissue analysis remains a challenge to medical technology epitomized by the ongoing quest to replace fingerstick self-monitoring of blood glucose. Recent developments warrant comment on near-term prospects for using Raman spectroscopy to meet that challenge. These developments combined with 20 years of experimentation with noninvasive blood and tissue analysis suggest that it may be possible and practical to perform noninvasive in vivo glucose analysis with improvements in (1) the enabling technologies for making Raman measurements and (2) an underlying anatomical–physiological model of how in vivo spectroscopic measurements are made and interpreted. We review the substantial progress made toward meeting the challenge and the personal, public health, and economic implications of these ongoing efforts.

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Noninvasive Hematocrit Monitoring Based on Parameter-optimization of a LED Finger Probe

Cited by 11 publications

References 9 publications

A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings

A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings

Analysis of Polarization Images in the Microphysical Blood Parameters Research for the Hematocrit Diagnostics

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

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