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Photoplethysmography for the Assessment of Haemorheology

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Journal Sci Rep
Specialty Science
Date 2017 May 5
PMID 28469198
Citations 8
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Abstract

Haemorheology has been long identified as an early biomarker of a wide range of diseases, especially cardiovascular diseases. This study investigates for the first time the suitability of Photoplethysmography (PPG) as a non-invasive diagnostic method for haemorheological changes. The sensitivity of both PPG components (AC and DC) to changes in haemorheology were rigorously investigated in an in vitro experimental setup that mimics the human circulation. A custom-made reflectance PPG sensor, a pressure transducer and an ultrasonic Doppler flowmeter were used to map changes in flow dynamics and optical responses in an arterial model. The study investigated the effect of shear rates by varying fluid pumping frequencies using 4 set-points and the effect of clot formation using a chemical trigger. Both PPG amplitudes and PPG levels showed significant (p < 0.001) changes during the increase in shear rates and an immediate change after thromboplastin activation. The findings highlight that PPG has the potential to be used as a simple non-invasive method for the detection of blood characteristics, including disaggregation, radial migration and cross-linking fibrin formations. Such capability will enable the assessment of the effects of clotting-activators and anticoagulants (including non-pharmacological methods) and might aid in the early non-invasive assessment of cardiovascular pathologies.

Citing Articles

Hemorrhagic risk prediction in coronary artery disease patients based on photoplethysmography and machine learning.

He Z, Zhang H, Chen X, Shi J, Bai L, Fang Z Sci Rep. 2022; 12(1):19190.

PMID: 36357443 PMC: 9649686. DOI: 10.1038/s41598-022-22719-7.


Wearable Photoplethysmography for Cardiovascular Monitoring.

Charlton P, Kyriaco P, Mant J, Marozas V, Chowienczyk P, Alastruey J Proc IEEE Inst Electr Electron Eng. 2022; 110(3):355-381.

PMID: 35356509 PMC: 7612541. DOI: 10.1109/JPROC.2022.3149785.


Diagnostic Features and Potential Applications of PPG Signal in Healthcare: A Systematic Review.

Almarshad M, Islam M, Al-Ahmadi S, BaHammam A Healthcare (Basel). 2022; 10(3).

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In silico and in vivo investigations using an endocavitary photoplethysmography sensor for tissue viability monitoring.

Chatterjee S, Patel Z, Thaha M, Kyriacou P J Biomed Opt. 2020; 25(2):1-16.

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Monte Carlo Analysis of Optical Interactions in Reflectance and Transmittance Finger Photoplethysmography.

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