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Paperdoi:10.1109/biosensors58001.2023.10281067

A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors

Venue listed2023Added Nov 5, 2026

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Authors: Redjan Ferizoli, Parmis Karimpour, James M. May, Panayiotis A. Kyriacou

2023 IEEE BioSensors Conference (BioSensors)

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TL;DR

Photoplethysmography (PPG) is a noninvasive optical sensing technique utilised widely for the assessment of cardiovascular disease (CVD). As CVD is the leading cause of mortality globally, there is a significant interest in the innovation of new and robust noninvasive technologies for the early detection of CVD. This work aimed to develop and evaluate vascular tissue phantoms using the techniques of PPG.

  • Published in 2023 IEEE BioSensors Conference (BioSensors) (2023).

Abstract

Photoplethysmography (PPG) is a noninvasive optical sensing technique utilised widely for the assessment of cardiovascular disease (CVD). As CVD is the leading cause of mortality globally, there is a significant interest in the innovation of new and robust noninvasive technologies for the early detection of CVD. This work aimed to develop and evaluate vascular tissue phantoms using the techniques of PPG. The paper describes the fabrication process of custom vessels and the formation of tissue phantoms. In addition, PPG measurement protocols utilising the developed tissue phantoms in an in vitro cardiovascular flow rig were also employed. Following analysis of the acquired PPGs, including feature extraction and statistical analysis, the results demonstrated for the first time that PPGs can be successfully acquired from two identical tissue phantoms placed in a bilateral configuration. This research paves the way for investigating PPGs in a controlled in vitro environment including examining the effect of vascular ageing (arterial stiffness) on the PPG signals.

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Tasks & signals

Signals

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Keywords

Kyriacou BibliographyOther PPG Applications

How it works

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

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Ferizoli, R., Karimpour, P., May, J. M., & Kyriacou, P. A. (2023). A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors. 2023 IEEE BioSensors Conference. https://doi.org/10.1109/biosensors58001.2023.10281067
Ferizoli, Redjan, Parmis Karimpour, James M. May, and Panayiotis A. Kyriacou. 2023. "A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors." 2023 IEEE BioSensors Conference. https://doi.org/10.1109/biosensors58001.2023.10281067.
Ferizoli, R., Karimpour, P., May, J. M. and Kyriacou, P. A. (2023) 'A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors', 2023 IEEE BioSensors Conference. doi: 10.1109/biosensors58001.2023.10281067.
Ferizoli, Redjan, et al. "A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors." 2023 IEEE BioSensors Conference, 2023. https://doi.org/10.1109/biosensors58001.2023.10281067.
R. Ferizoli, P. Karimpour, J. M. May, and P. A. Kyriacou, "A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors," 2023 IEEE BioSensors Conference, 2023, doi: 10.1109/biosensors58001.2023.10281067.
@inproceedings{ferizoli2023bilateral,
  title         = {{A Bilateral In Vitro Model for Cardiovascular Disease Investigations Using Photoplethysmography Sensors}},
  author        = {Ferizoli, Redjan and Karimpour, Parmis and May, James M. and Kyriacou, Panayiotis A.},
  year          = {2023},
  booktitle     = {2023 IEEE BioSensors Conference},
  doi           = {10.1109/biosensors58001.2023.10281067}
}

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