Oxygen Saturation Measurement using Hyperspectral Imaging targeting Real-Time Monitoring

Martinez-Vega, Beatriz; Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Suarez-Vega, David; Clavo, Bernardino

doi:10.1109/dsd53832.2021.00078

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…The most predominant chromophore in the dermis is the hemoglobin, whose function is to carry oxygen [4], [5]. SBP measurements provide information about some clinical parameters such as oxygen saturation [6]- [8], and hemoglobin concentration changes [7], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

“…Researchers also use light, measured and/or emitted, at multiple wavelengths to estimate additional perfusion parameters. Multispectral (MS) or hyperspectral imaging can evaluate red cell concentration [3], skin oxygenation [5], blood oxygen saturation [2], [6], [16], and even oxy-/deoxyhemoglobin changes [1], [17]. This technology has broad applications, including wound healing prediction [18], diabetic foot monitoring [12], [18], wound healing process [19], skin disease diagnosing [20], and organ quality assessment for preservation [21].…”

Section: Introductionmentioning

confidence: 99%

“…In this approach, the data acquired through the different bands represent a spectral signature of tissue located in each pixel [21], [24], [25]. Next, the spectral signature can be analyzed to infere information, which can be associated with the pixel chemical composition [6], [21]. However, when dealing with MS imaging, a single pixel rarely contains the pure spectrum of a single component.…”

Section: Introductionmentioning

confidence: 99%

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Contactless Skin Blood Perfusion Imaging via Multispectral Information, Spectral Unmixing and Multivariable Regression

Granados-Castro,

Gutierrez-Navarro,

Mejia-Rodriguez

et al. 2024

IEEE Open J. Signal Process.

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Noninvasive methods for assessing in-vivo skin blood perfusion parameters, such as hemoglobin oxygenation, are crucial for diagnosing and monitoring microvascular diseases. This approach is particularly beneficial for patients with compromised skin, where standard contact-based clinical devices are inappropriate. For this goal, we propose the analysis of multimodal data from an occlusion protocol applied to 18 healthy participants, which includes multispectral imaging of the whole hand and reference photoplethysmography information from the thumb. Multispectral data analysis was conducted using two different blind linear unmixing methods: principal component analysis (PCA), and extended blind endmember and abundance extraction (EBEAE). Perfusion maps for oxygenated and deoxygenated hemoglobin changes in the hand were generated using linear multivariable regression models based on the unmixing methods. Our results showed high accuracy, with R 2 -adjusted values, up to 0.90±0.08. Further analysis revealed that using more than four characteristic components during spectral unmixing did not improve the fit of the model. Bhattacharyya distance results showed that the fitted models with EBEAE were more sensitive to hemoglobin changes during occlusion stages, up to four times higher than PCA. Our study concludes that multispectral imaging with EBEAE is effective in quantifying changes in oxygenated hemoglobin levels, especially when using 3 to 4 characteristic components. Our proposed method holds promise for the noninvasive diagnosis and monitoring of superficial microvascular alterations across extensive anatomical regions.INDEX TERMS skin blood perfusion, hemoglobin, multispectral imaging, photoplethysmography, spectral unmixing.

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