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Contactless Skin Blood Perfusion Imaging via Multispectral Information, Spectral Unmixing and Multivariable Regression
type: Article
type: Document
related by: authorship_74694
type: Entity
abstract: 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 text {R}{2}-adjusted values, up to 0.90 pm 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.
has publication venue: IEEE Open Journal of Signal Processing
estado: published
volume: 5
most specific type: Article
freetext keyword: hemoglobin; multispectral imaging; photoplethysmography; Skin blood perfusion; spectral unmixing Blood; Blood vessels; Hemoglobin; Noninvasive medical procedures; Photoplethysmography; Regression analysis; Blood; Blood perfusion; Endmembers; Haemoglobins; Microvascular; Multispectral imaging; Oxygenated hemoglobin; Principal-component analysis; Skin blood perfusion; Spectral unmixing; Principal component analysis
accesstype: Open Access
page start: 101
type: Continuant
date time value: article date 12137
type: Generically Dependent Continuant
type: Thing
most specific type: Document
doi: 10.1109/OJSP.2024.3381892
type: Information Content Entity
crisid: 12137
e iscopus: 2-s2.0-85189178972
page end: 111
related by: authorship_74693

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RDF description of Contactless Skin Blood Perfusion Imaging via Multispectral Information, Spectral Unmixing and Multivariable Regression - http://orbis.uaslp.mx/vivo/individual/scopus12136
rights: termsOfUse
date: 2026-08-26T04:03:58
publisher: vivo
type: Document

IEEE Open Journal of Signal Processing
type: Continuant
type: Thing
type: Generically Dependent Continuant
publication venue for: Contactless Skin Blood Perfusion Imaging via Multispectral Information, Spectral Unmixing and Multivariable Regression
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type: Periodical
type: Journal
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type: Information Content Entity
type: Document

Article
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Information Content Entity
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