Spectral inference of arterial stiffness from a single distal velocity waveform

Clicks: 16
ID: 331901
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #118 of 151 articles by views in PNAS nexus

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 151 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Arterial stiffness is a key determinant of cardiovascular health and a central quantity in biological wave mechanics. Conventional pulse wave velocity (PWV) measurement requires simultaneous recordings at two spatially separated sites, limiting clinical accessibility. Here we formulate arterial stiffness estimation as a spectral inverse problem: the wave transit time is recovered from a single distal velocity waveform by minimizing the residual between measured harmonic coefficients and those predicted by a parameterized traveling-plus-reflected-wave model. The method exploits phase delays in the harmonic structure of the velocity signal, a physically direct encoding of propagation speed, without a proximal measurement. To evaluate the approach, physiologically realistic waveforms were generated using a three-dimensional fluid–structure interaction model of the aorta across linear and nonlinear arterial wall constitutive regimes as well as different heart rates. Following systematic sensitivity analysis and parameter optimization, the nondimensionalized spectral index showed a strong inverse correlation with reference PWV (r=-0.86, p<0.001), consistent with the expected reduction in transit time with increasing wave speed. These findings demonstrate that arterial stiffness is robustly encoded in the spectral phase structure of distal velocity waveforms and recoverable via a physics-based inverse approach, providing a pathway toward scalable noninvasive vascular assessment.
Reference Key
openalex_W7220436636 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Manraj Singh Chahal, Arian Aghilinejad
Are you one of these authors? Claim your profile
Journal PNAS nexus
Year 2026
DOI
10.1093/pnasnexus/pgag352
URL
https://doi.org/10.1093/pnasnexus/pgag352
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.