Paperdoi:10.1088/1361-6579/aba008

Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model

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Authors: Subhasri Chatterjee, Karthik Budidha, Panayiotis A Kyriacou

Physiological Measurement

TL;DR

Photoplethysmography (PPG) is a photometric technique used for the measurement of volumetric changes in the blood. The recent interest in new applications of PPG has invigorated more fundamental research regarding the origin of the PPG waveform, which since its discovery in 1937, remains inconclusive. A handful of studies in the recent past have explored various hypotheses for the origin of PPG.

  • Published in Physiological Measurement (2020).

Abstract

Photoplethysmography (PPG) is a photometric technique used for the measurement of volumetric changes in the blood. The recent interest in new applications of PPG has invigorated more fundamental research regarding the origin of the PPG waveform, which since its discovery in 1937, remains inconclusive. A handful of studies in the recent past have explored various hypotheses for the origin of PPG. These studies relate PPG to mechanical movement, red blood cell orientation or blood volume variations. Objective : Recognising the significance and need to corroborate a theory behind PPG formation, the present work rigorously investigates the origin of PPG based on a realistic model of light–tissue interactions. Approach : A three-dimensional comprehensive Monte Carlo model of finger-PPG was developed and explored to quantify the optical entities pertinent to PPG (e.g. absorbance, reflectance, and penetration depth) as the functions of multiple wavelengths and source-detector separations. Complementary to the simulations, a pilot in vivo investigation was conducted on eight healthy volunteers. PPG signals were recorded using a custom-made multiwavelength sensor with an adjustable source-detector separation. Main results : Simulated results illustrate the distribution of photon–tissue interactions in the reflectance PPG geometry. The depth-selective analysis quantifies the contributions of the dermal and subdermal tissue layers in the PPG wave formation. A strong negative correlation (r = −0.96) is found between the ratios of the simulated absorbances and measured PPG amplitudes. Significance : This work quantified for the first time the contributions of different tissue layers and sublayers in the formation of the PPG signal.

Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: https://publishingsupport.iopscience.iop.org/iop-standard/v1

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Tasks & signals

Signals

Keywords

Kyriacou BibliographyOptical Modelling Phantoms

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG). Method: Method.SetupSignals: PPGSignalsPPGMethodMethod

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Chatterjee, S., Budidha, K., & Kyriacou, P. A. (2020). Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model. Physiological Measurement. https://doi.org/10.1088/1361-6579/aba008
Chatterjee, Subhasri, Karthik Budidha, and Panayiotis A Kyriacou. 2020. "Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model." Physiological Measurement. https://doi.org/10.1088/1361-6579/aba008.
Chatterjee, S., Budidha, K. and Kyriacou, P. A. (2020) 'Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model', Physiological Measurement. doi: 10.1088/1361-6579/aba008.
Chatterjee, Subhasri, et al. "Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model." Physiological Measurement, 2020. https://doi.org/10.1088/1361-6579/aba008.
S. Chatterjee, K. Budidha, and P. A. Kyriacou, "Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model," Physiological Measurement, 2020, doi: 10.1088/1361-6579/aba008.
@article{chatterjee2020investigating,
  title         = {{Investigating the origin of photoplethysmography using a multiwavelength Monte Carlo model}},
  author        = {Chatterjee, Subhasri and Budidha, Karthik and Kyriacou, Panayiotis A.},
  year          = {2020},
  journal       = {Physiological Measurement},
  doi           = {10.1088/1361-6579/aba008}
}

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