Reconstruction of central arterial pressure waveform based on CNN-BILSTM

H Xiao, C Liu, B Zhang - Biomedical Signal Processing and Control, 2022 - Elsevier
Central arterial pressure is an important physiological indicator of the human cardiovascular
system. Its noninvasive, continuous and accurate reconstruction and monitoring are …

Arterial wall properties in men and women: hemodynamic analysis and clinical implications

JKJ Li - Sex-Specific Analysis of Cardiovascular Function, 2018 - Springer
The properties of arterial walls are dictated by their underlying structure, which is
responsible for the adequate perfusion of conduit branching arteries and their vascular …

Aortic blood pressure estimation: a hybrid machine-learning and cross-relation approach

A Magbool, MA Bahloul, T Ballal, TY Al-Naffouri… - … Signal Processing and …, 2021 - Elsevier
Aortic blood pressure is a vital signal that provides valuable medical information about
cardiovascular health condition. Noninvasive measurement of this signal is very …

Central aortic blood pressure waveform estimation with a temporal convolutional network

W Liu, S Du, N Pang, L Zhang, G Sun… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
A novel temporal convolutional network (TCN) model is utilized to reconstruct the central
aortic blood pressure (aBP) waveform from the radial blood pressure waveform. The method …

Reconstruction of the aortic pressure waveform using a two-level adaptive transfer function strategy

S Du, W Liu, Y Yao, G Sun, Y He, J Alastruey, L Xu… - Measurement, 2022 - Elsevier
Existing studies cannot estimate the high-frequency components of the aortic pressure
waveform (APW) practically and reliably. To solve this problem, a two-level adaptive transfer …

Identification of Wiener state–space models utilizing Gaussian sum smoothing

AL Cedeño, RA González, R Carvajal, JC Agüero - Automatica, 2024 - Elsevier
In this paper, we address the problem of system identification for Wiener state–space
models. Our approach is based on the Maximum Likelihood method and the Expectation …

A new methodology for determining the central pressure waveform from peripheral measurement using Fourier-based machine learning

A Aghilinejad, A Tamborini, M Gharib - Artificial Intelligence in Medicine, 2024 - Elsevier
Radial applanation tonometry is a well-established technique for hemodynamic monitoring
and is becoming popular in affordable non-invasive wearable healthcare electronics. To …

Multi‐innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle

H Xia, S Xu, C Zhou, F Chen - Optimal Control Applications and …, 2022 - Wiley Online Library
This article considers the parameter estimation problems of linear multivariable systems with
unknown disturbances. For the parameter matrices in the multivariable systems, the model …

Noninvasive estimation of aortic pressure waveform based on simplified Kalman filter and dual peripheral artery pressure waveforms

W Liu, S Du, S Zhou, T Mei, Y Zhang, G Sun… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective Aortic pressure (P a) is important for the diagnosis of
cardiovascular disease. However, its direct measurement is invasive, not risk-free, and …

Personalized aortic pressure waveform estimation from brachial pressure waveform using an adaptive transfer function

S Du, Y Yao, G Sun, L Wang, J Alastruey… - Computers in Biology …, 2023 - Elsevier
Background and objective The aortic pressure waveform (APW) provides reliable
information for the diagnosis of cardiovascular disease. APW is often measured using a …