P.03 Local Pulse Wave Velocity Estimation using a Double Gaussian Propagation Model

Fabian Beutel; Chris Van Hoof; Evelien Hermeling

doi:10.2991/artres.k.201209.017

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Volume 26, Issue Supplement 1, December 2020, Pages S23 - S23

P.03 Local Pulse Wave Velocity Estimation using a Double Gaussian Propagation Model

Authors

Fabian Beutel¹^{, 2}^{, *}, Chris Van Hoof¹^{, 3}, Evelien Hermeling²

¹KU Leuven

²imec The Netherlands

³imec

^*Corresponding author. Email: fabian.beutel@imec.nl

Corresponding Author

Fabian Beutel

Available Online 31 December 2020.

DOI: 10.2991/artres.k.201209.017 How to use a DOI?
Keywords: Local pulse wave velocity
Abstract: Background: Pulse wave velocity (PWV) is an established marker of arterial stiffness [1]. Local PWV estimates, however, are affected by confluence of incident and reflected waves, biasing the spatiotemporal propagation of the systolic foot (SF) in the distension waveform [2,3]. We, therefore, propose a Double Gaussian Propagation Model (DGPM) to estimate PWV in consideration of local wave dynamics.

Methods: Ten subjects (38 ± 10 years) were measured in rest for 2 minutes, repeatedly in 3 sessions over 3 weeks. From carotid ultrasonography (Vantage64, VerasonicsInc.,USA), we acquired 32 distension waveforms over a 19 mm wide arterial segment, simultaneously with noninvasive continuous blood pressure (NOVA, FinapresMedicalSystemsB.V., NL). The DGPM, fitted to the detrended second derivative (of the SF-complex, was defined as:

with time t[s], segment distance x[m] and 8 parameters modelling all 32 waveforms, i.e. a(mplitude)[a.u.], c(entroid)[s], w(idth)[s] and v(elocity)[m/s] of the forward (1) and backward (2) propagating wave, respectively (see Figure). Quality of fitting (QoF) was assessed as percentage of the waveform accounted by DGPM relative to the mean amplitude. Per cardiac cycle, PWV_DGPM (= v₁), spatiotemporal PWV(PWV_ST) from linear regression of SF distances and timings, and Bramwell-Hill PWV (PWV_BH) were computed [4]. Pearson correlation coefficients were computed between session means of local PWV measures and PWV_BH.

Results: The DGPM adequately models the SF-complex (mean QoF = 85% for >20.000 cardiac cycles). For PWV_BH, PWV_DGPM shows a significantly higher predictive utility compared to PWV_ST (r: 0.64 vs. 0.10).

Conclusion: The proposed DGPM demonstrates significant predictive utility for PWV by accounting for wave confluence. This may facilitate the clinical practicality of local arterial stiffness estimation.
Copyright: © 2020 Association for Research into Arterial Structure and Physiology. Publishing services by Atlantis Press International B.V.
Open Access: This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

REFERENCES

[1]ME Safar, R Asmar, A Benetos, J Blacher, P Boutouyrie, P Lacolley, et al., Interaction between hypertension and arterial stiffness: an expert reappraisal, Hypertension, Vol. 72, 2018, pp. 796-805.

[2]E Hermeling, KD Reesink, RS Reneman, and APG Hoeks, Confluence of incident and reflected waves interferes with systolic foot detection of the carotid artery distension waveform, J Hypertens, Vol. 26, 2008, pp. 2374-80.

[3]F Beutel, C Van Hoof, and E Hermeling, A beat-to-beat quality indicator based on piecewise spatiotemporal estimates of carotid pulse wave velocity improves correlation with pulse pressure, Artery Res, Vol. 25, 2019, pp. S108-S9.

[4]JC Bramwell and AV Hill, The velocity of pulse wave in man, Proc R Soc Biol Sci, Vol. 93, 1922, pp. 298-306.

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Journal: Artery Research
Volume-Issue: 26 - Supplement 1
Pages: S23 - S23
Publication Date: 2020/12/31
ISSN (Online): 1876-4401
ISSN (Print): 1872-9312
DOI: 10.2991/artres.k.201209.017 How to use a DOI?
Open Access: This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

ris enw bib

TY  - JOUR
AU  - Fabian Beutel
AU  - Chris Van Hoof
AU  - Evelien Hermeling
PY  - 2020
DA  - 2020/12/31
TI  - P.03 Local Pulse Wave Velocity Estimation using a Double Gaussian Propagation Model
JO  - Artery Research
SP  - S23
EP  - S23
VL  - 26
IS  - Supplement 1
SN  - 1876-4401
UR  - https://doi.org/10.2991/artres.k.201209.017
DO  - 10.2991/artres.k.201209.017
ID  - Beutel2020
ER  -

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