PaperarXiv:2604.27500

From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation

Preprint2026Added Sep 26, 2026

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Authors: Boyuan Gu, Yijin Yang, Shuaiqi Cheng, Xiaorong Ding

arXiv preprint (cs.HC, eess.SP) · 4 pages, 5 figures

First page or project page of “From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation” (opens in a new tab)

Gu, Boyuan et al., "From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation", arXiv:2604.27500, CC BY-SA 4.0

TL;DR

Cuffless blood pressure (BP) estimation based on Pulse Transit Time (PTT) has emerged as a promising solution for continuous health monitoring. However, conventional models relying on the Moens-Korteweg equation often fail during rapid hemodynamic fluctuations, as they assume arterial walls are purely elastic and neglect inherent viscoelasticity. First, raw photoplethysmogram (PPG) signals undergo high-fidelity reconstruction using Modified Akima (Makima) interpolation.

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Abstract

Cuffless blood pressure (BP) estimation based on Pulse Transit Time (PTT) has emerged as a promising solution for continuous health monitoring. However, conventional models relying on the Moens-Korteweg equation often fail during rapid hemodynamic fluctuations, as they assume arterial walls are purely elastic and neglect inherent viscoelasticity. To address this limitation, we propose a physics-informed framework introducing a viscoelastic compensation mechanism. First, raw photoplethysmogram (PPG) signals undergo high-fidelity reconstruction using Modified Akima (Makima) interpolation. Second, a robust Intersecting Tangent Method is applied for precise pulse foot localization. Crucially, we utilize Ensemble Empirical Mode Decomposition (EEMD) to isolate high-frequency Intrinsic Mode Functions (IMFs), defining a ``Viscoelastic Velocity Metric'' to quantify the vascular damping effect ( ) typically ignored by elastic models. The framework was rigorously validated on a challenging subset of the MIMIC-II database (364 subjects, 28,525 cardiac cycles) characterized by a high prevalence of hypertension (23.4%). Experimental results demonstrate medical-grade accuracy, yielding a Root Mean Square Error (RMSE) of 5.22 mmHg for Systolic and 3.65 mmHg for Diastolic BP, with Pearson correlation coefficients (R > 0.97). These findings confirm that incorporating viscoelastic features significantly enhances robustness against vascular hysteresis.

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Tasks & signals

Tasks

Blood pressurePulse arrival time

Signals

Keywords

cuffless-BPPTTEEMDviscoelastic

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG, ECG); Form factor (other). Method: Method. Target: Blood pressure; Pulse arrival time.SetupSignals: PPG, ECGSignalsPPG, ECGForm factor: otherForm factorotherMethodMethodTargetBlood pressureBlood pressurePulse arrival timePulse arrival time

Cite this paper

APA

Gu, B., Yang, Y., Cheng, S., & Ding, X. (2026). From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation. arXiv preprint · 4 pages, 5 figures. https://doi.org/10.48550/arXiv.2604.27500

BibTeX

@misc{gu2026from,
  title         = {{From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation}},
  author        = {Gu, Boyuan and Yang, Yijin and Cheng, Shuaiqi and Ding, Xiaorong},
  year          = {2026},
  howpublished  = {arXiv preprint · 4 pages, 5 figures},
  doi           = {10.48550/arXiv.2604.27500},
  eprint        = {2604.27500},
  archivePrefix = {arXiv}
}

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