Imaging photoplethysmography quantifies endothelial dysfunction in patients with risk factors for cardiovascular complications

Podolyan, Natalia P.; Mizeva, Irina; Mamontov, Oleg V.; Zaytsev, Valeriy V.; Belaventseva, Anzhelika V.; Sakovskaia, Anastasiia V.; Romashko, Roman V.; Kamshilin, Alexei A.

doi:10.1016/j.bspc.2023.105168

Cited by 5 publications

(1 citation statement)

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“…Examples of applications of our proposed signal processing technique could be used in different fields. For example measuring the body’s response to external stimuli, such as temperature (cold [10] or heat [49]) or mental stress [50]. While contact PPG is widely applied, there are situations that PPGI would be helpful.…”

Section: Discussionmentioning

confidence: 99%

Graph connection Laplacian allows for enhanced outcomes of consumer camera based photoplethysmography imaging

Borik,

Wu,

Shelley

et al. 2024

Preprint

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ObjectThis work aims to introduce a novel method to mitigate the global phase deviation inherent in photoplethysmography imaging (PPGI) due to hemodynamics.MethodWe model the facial vascular network captured by a consumer camera as a two-dimensional manifold, where the complex dynamics of the vascular tree leads to intricate phase variations across skin sites. Utilizing PPGI, we sample the vector field on the facial manifold encoding these intricate phase variations over different skin sites resulting from blood volume modulations. We propose leveraging the graph connection Laplacian (GCL) technique to quantify the global phase deviation, with the hypothesis that correcting this deviation can improve the quality of the PPGI signal and that the phase deviation encodes valuable anatomical and physiological information.ResultThe proposed algorithm yields a higher-quality global PPGI signal by correcting the global phase deviation estimated by GCL, emphasizing waveform features such as the dicrotic notch. The perfusion map, with the global phase deviation estimated by GCL as intensity, reflects skin perfusion dynamics influenced by varying travel distances and anatomical structures.ConclusionThis algorithm enhances the quality of the global PPGI signal, facilitating the analysis of morphological parameters and showing promise for advancing PPGI applications in scientific research and clinical practice.

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Section: Discussionmentioning

confidence: 99%