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혈중 산소 포화도의 정확한 공간 매핑을 위한 다중 파장 LED 단일소자를 활용한 이미징 시스템 설계

A Simple Design of an Imaging System for Accurate Spatial Mapping of Blood Oxygen Saturation Using a Single Element of Multi-wavelength LED

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초록

Pulse oximetry, a non-invasive technique for evaluating blood oxygen saturation, conventionally depends on isolated measurements, rendering it vulnerable to factors like illumination profile, spatial blood flow fluctuations, and skin pigmentation. Previous efforts to address these issues through imaging systems often employed red and near-infrared illuminations with distinct profiles, leading to inconsistent ratios of transmitted light and the potential for errors in calculating spatial oxygen saturation distributions. While an integrating sphere was recently utilized as an illumination source to achieve uniform red and near-infrared illumination profiles on the sample surface, its bulk- iness presented practical challenges. In this work, we have enhanced the pulse oximetry imaging system by tran- sitioning illumination from an integrating sphere to a multi-wavelength LED configuration. This adjustment ensures simultaneous emission of red and near-infrared light from the same position, creating a homogeneous illumination profile on the sample surface. This approach guarantees consistent patterns of red and near-infrared illuminations that are spatially uniform. The sustained ratio between transmitted red and near-infrared light across space enables precise calculation of the spatial distribution of oxygen saturation, making our pulse oximetry imaging system more compact and portable without compromising accuracy. Our work significantly contributes to obtaining spatial infor- mation on blood oxygen saturation, providing valuable insights into tissue oxygenation in peripheral regions.

Abstract

Pulse oximetry, a non-invasive technique for evaluating blood oxygen saturation, conventionally depends on isolated measurements, rendering it vulnerable to factors like illumination profile, spatial blood flow fluctuations, and skin pigmentation. Previous efforts to address these issues through imaging systems often employed red and near-infrared illuminations with distinct profiles, leading to inconsistent ratios of transmitted light and the potential for errors in calculating spatial oxygen saturation distributions. While an integrating sphere was recently utilized as an illumination source to achieve uniform red and near-infrared illumination profiles on the sample surface, its bulk- iness presented practical challenges. In this work, we have enhanced the pulse oximetry imaging system by tran- sitioning illumination from an integrating sphere to a multi-wavelength LED configuration. This adjustment ensures simultaneous emission of red and near-infrared light from the same position, creating a homogeneous illumination profile on the sample surface. This approach guarantees consistent patterns of red and near-infrared illuminations that are spatially uniform. The sustained ratio between transmitted red and near-infrared light across space enables precise calculation of the spatial distribution of oxygen saturation, making our pulse oximetry imaging system more compact and portable without compromising accuracy. Our work significantly contributes to obtaining spatial infor- mation on blood oxygen saturation, providing valuable insights into tissue oxygenation in peripheral regions.

참고문헌 (35)

  1. Fawzy A, "Clinical Outcomes Associated With Overestimation of Oxygen Saturation by Pulse Oximetry in Patients Hospitalized With COVID-19", JAMA Network Open, 6(8), pp.1~11 (2023)
  2. Garcia-Gutierrez S, "The Use of Pulse Oximetry to Determine Hypoxemia in Acute Exacerbations of COPD", COPD : Journal of Chronic Obstructive Pulmonary Disease, 12(6), pp.613~620 (2015)
  3. Masip J, "Pulse Oximetry in the Diagnosis of Acute Heart Failure", Rev Esp Cardiol, 65(10), pp.879~884 (2012)
  4. Mas-Bargues C, "Relevance of oxygen concentration in stem cell culture for regenerative medicine", Int J Mol Sci, 20(5), pp.1~27 (2019)
  5. Yin Y, "Effects of mild hypoxia on oxygen extraction fraction responses to brain stimulation", J Cereb Blood Flow Metab, 41(9), pp.2216~2228 (2021)
  6. Manta C, "An evaluation of biometric monitoring technologies for vital signs in the era of COVID-19", Clin Transl Sci, 13(6), pp.1034~1044 (2020)
  7. Toshiyo Tamura, "Current progress of photoplethysmography and SPO2 for health monitoring", Biomedical Engineering Letters (BMEL), 9(1), pp.21~36 (2019), 대한의용생체공학회[DOI]
  8. Jubran A, "Pulse oximetry", Intensive Care Med, 30(11), pp.2017~2020 (2004)
  9. Van Beers R, "Accurate measurement of SpO2 and dermal skin hydration using a wearable miniaturized spectrometer. Biophotonics in Exercise Science, Sports Medicine", Health Monitoring Technologies, and Wearables III, pp.1~7 (2022)
  10. Matsushita, K., "Fundamental study of reflection pulse oximetry", Optical Review, 10(5), pp.482~487 (2003)
  11. Pothisarn W, "Optics in Health Care and Biomedical Optics: Diagnostics and Treatment", pp.498~504 (2002)
  12. Humphreys K, "Opto-Ireland 2005: Imaging and Vision", pp.88~95 (2005)
  13. Kumar M, "PulseCam : A camera-based, motion-robust and highly sensitive blood perfusion imaging modality", Scientific Reports, 10(4825), pp.1~17 (2020)
  14. Moco AV, "Ballistocardiographic Artifacts in PPG Imaging", IEEE Transactions on Biomedical Engineering, 63(9), pp.1804~1811 (2015)
  15. Moço AV, "Motion robust PPG-imaging through color channel mapping", Biomed Opt Express, 7(5), pp.1737~1754 (2016)
  16. Mannheimer PD, "The light–tissue interaction of pulse oximetry", Anesth. Analg, 105(6), pp.S10~S17 (2007)
  17. Torp KD, "Pulse oximetry" (2022), StatPearls
  18. Sun Y, "Photoplethysmography revisited : From contact to noncontact, from point to imaging", IEEE Transactions on Biomedical Engineering, 63(3), pp.463~477 (2015)
  19. Vaqar A, "Spectroscopic Properties of Blood for Pulse Oximeter Design", ICBET: International Conference on Biomedical Engineering and Technology, pp.217~222 (2019)
  20. Taylor-Williams M, "Noninvasive hemoglobin sensing and imaging : Optical tools for disease diagnosis", SPIE, 27(8), pp.1~32 (2022)
  21. Nitzan M, "Pulse oximetry : Fundamentals and technology update", Medical Devices : Evidence and Research, 7, pp.231~239 (2014)
  22. Smuda K, "Function of hemoglobin-based oxygen carriers : Determination of methemoglobin content by spectral extinction measurements", International Journal of Molecular Sciences, 22(4), pp.1~24 (2021)
  23. Casalino G, "A mHealth solution for contactless self-monitoring of blood oxygen saturation", 2020 IEEE Symposium on Computers and Communications (ISCC), pp.1~7 (2020)
  24. Rosa AdFG, "Noncontact SpO2 measurement using Eulerian video magnification", IEEE Transactions on Instrumentation and Measurement, 69(5), pp.2120~2130 (2019)
  25. Kocsis L, "The modified Beer–Lambert law revisited", Physics in Medicine and Biology, 51(5), pp.N91~N98 (2006)
  26. Selvaraju V, "Continuous monitoring of vital signs using cameras : A systematic review", Sensors, 22(11), pp.1~37 (2022)
  27. Labati RD, "Biometric recognition of PPG cardiac signals using transformed spectrogram images", Pattern Recognition, Proceedings of the ICPR International Workshops and Challenges, pp.244~257 (2021)
  28. Tian X, "A Multi-Channel Ratio-of-Ratios Method for Noncontact Hand Video Based Monitoring Using Smartphone Cameras", IEEE Journal of Selected Topics in Signal Processing, 16(2), pp.197~207 (2022)
  29. Shao D, "Noncontact monitoring of blood oxygen saturation using camera and dual-wavelength imaging system", IEEE Transactions on Biomedical Engineering, 63(6), pp.1091~1098 (2015)
  30. Wu J, "Self-calibrated pulse oximetry based on absorption changes in photon pathlength", European Conference on Biomedical Optics, pp.1~3 (2021)
  31. Fan Q, "Noncontact imaging plethysmography for accurate estimation of physiological parameters", Journal of Medical and Biological Engineering, 37, pp.675~685 (2017)
  32. Shao D, "Noncontact monitoring of blood oxygen saturation using camera and dual-wavelength imaging system", IEEE Transactions on Biomedical Engineering, 63(6), pp.1091~1098 (2016)
  33. Sun Y, "Noncontact imaging photoplethysmography to effectively access pulse rate variability", Journal of Biomedical Optics, 18(6), pp.1~9 (2012)
  34. Okubo K, "Transparency in Biology: Making the Invisible Visible", pp.203~222 (2021), Springer
  35. Muhammad R, "Pulse Oximetry Imaging System Using Spatially Uniform Dual Wavelength Illumination", Sensors, 23(7), pp.1~18 (2023)

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