Artery Research

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Volume 24, Issue C, December 2018, Pages 128 - 128

P164 INDICES TO ASSESS AORTIC STIFFNESS FROM THE FINGER PHOTOPLETHYSMOGRAM: IN SILICO AND IN VIVO TESTING

Authors
Peter Charlton1, Maria Aresu2, Jeanette Spear2, Phil Chowienczyk1, Jordi Alastruey1
1King’s College London, London, UK
2Imperial College London, London, UK
Available Online 4 December 2018.
DOI
10.1016/j.artres.2018.10.217How to use a DOI?
Abstract

Purpose: Aortic stiffness is predictive of cardiovascular morbidity and mortality. However, the gold standard method for assessing aortic stiffness, carotid-femoral pulse wave velocity, is time-consuming and requires a trained operator. An alternative approach could be to derive an arterial stiffness index (ASI) from the easily measured finger photoplethysmogram (PPG). Our aim was to investigate the performance of PPG-derived ASIs for assessing aortic stiffness.

Methods: An insilico dataset of arterial pulse waves (PWs) was generated using a model of pulse wave propagation (1). PWs were generated for virtual healthy subjects aged 25 to 75. Several simulations were run for each age decade to mimic population-level variation in cardiac and vascular properties. PPG PWs were simulated from blood pressure PWs (2). The dataset was used to design an algorithm to calculate over 30 ASIs described in the literature from the finger PPG. In vivo testing was performed using 6,506 subjects from the Airwave dataset (3) who had triplicate PPG and reference PWV measurements.

Results: In silico and in vivo performances of ASIs, including the stiffness index (SI) and reflection index, varied greatly. The SI performed well in vivo, showing strong correlation with reference PWVs. However, in silico assessment demonstrated that the SI and other ASIs were affected by other cardiac and vascular properties as well as aortic stiffness.

Conclusions: This study identified the best-performing ASIs in both in silico and in vivo datasets. In the future multiple ASIs should be combined to improve performance, since different ASIs have different physiological determinants.

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This is an open access article distributed under the CC BY-NC license.

References

1.MC Willemet, PJ Chowienczyk, and J Alastruey, A database of virtual healthy subjects to assess the accuracy of foot-to-foot pulse wave velocities for estimation of aortic stiffness, American Journal of Physiology-Heart and Circulatory Physiology, Vol. 309, No. 4, 2015, pp. H663-H675.
2.PH Charlton, P Celka, B Farukh, PJ Chowienczyk, and J Alastruey, Assessing Mental Stress from the Photoplethysmogram: A Numerical Study, Physiological Measurement, Vol. 39, No. 5, 2018, pp. 054001.
3.P Elliott, A Vergnaud, D Singh, D Neasham, J Spear, and A Heard, The Airwave Health Monitoring Study of police officers and staff in Great Britain, Rationale, design and methods Environmental Research, Vol. 134, 2014, pp. 280-285.
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Journal
Artery Research
Volume-Issue
24 - C
Pages
128 - 128
Publication Date
2018/12/04
ISSN (Online)
1876-4401
ISSN (Print)
1872-9312
DOI
10.1016/j.artres.2018.10.217How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

risenwbib
TY  - JOUR
AU  - Peter Charlton
AU  - Maria Aresu
AU  - Jeanette Spear
AU  - Phil Chowienczyk
AU  - Jordi Alastruey
PY  - 2018
DA  - 2018/12/04
TI  - P164 INDICES TO ASSESS AORTIC STIFFNESS FROM THE FINGER PHOTOPLETHYSMOGRAM: IN SILICO AND IN VIVO TESTING
JO  - Artery Research
SP  - 128
EP  - 128
VL  - 24
IS  - C
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2018.10.217
DO  - 10.1016/j.artres.2018.10.217
ID  - Charlton2018
ER  -