Non-invasive assessment of sublingual microcirculation using flow derived from green light PPG: evaluation and reference values
Acevedo, R. U., Sánchez, L. O.
ORCID: 0009-0007-3200-5227, Londoño, S. V. , Mejía-Mejía, E., Villa, R. T. & Goez, Y. M. (2024).
Non-invasive assessment of sublingual microcirculation using flow derived from green light PPG: evaluation and reference values.
Journal of Biomedical Optics, 29(1),
doi: 10.1117/1.jbo.29.1.017001
Abstract
Significance: The study of sublingual microcirculation offers valuable insights into vascular changes and overcomes some limitations of peripheral microcirculation assessment. Videomicroscopy and pulse oximetry have been used to assess microcirculation, providing insights into organ perfusion beyond macrohemodynamics parameters. However, both techniques have important limitations that preclude their use in clinical practice.
Aim: To address this, we propose a non-invasive approach using photoplethysmography (PPG) to assess microcirculation.
Approach: Two experiments were performed on different samples of 31 subjects. First, multi-wavelength, finger PPG signals were compared before and while applying pressure on the sensor to determine if PPG signals could detect changes in peripheral microcirculation. For the second experiment, PPG signals were acquired from the ventral region of the tongue, aiming to assess the microcirculation through features calculated from the PPG signal and its first derivative.
Results: In experiment 1, 13 out of 15 features extracted from green PPG signals showed significant differences (p < 0.05) before and while pressure was applied to the sensor, suggesting that green light could detect flow distortion in superficial capillaries. In experiment 2, 15 features showed potential application of PPG signal for sublingual microcirculation assessment.
Conclusions: The PPG signal and its first derivative have the potential to effectively assess microcirculation when measured from the fingertip and the tongue. The assessment of sublingual microcirculation was done through the extraction of 15 features from the green PPG signal and its first derivative. Future studies are needed to standardize and gain a deeper understanding of the evaluated features.
| Publication Type: | Article |
|---|---|
| Additional Information: | © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
| Publisher Keywords: | Sublingual area, Microcirculation, Photoplethysmography, Sensors, Tissues, Feature extraction, Tongue, Signal detection, Blood circulation, Capillaries, Reflection, Signal processing, Tunable filters |
| Subjects: | Q Science > QC Physics R Medicine |
| Departments: | School of Science & Technology School of Science & Technology > Department of Engineering |
| SWORD Depositor: |
Available under License Creative Commons Attribution.
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