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 …
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 …
responsible for the adequate perfusion of conduit branching arteries and their vascular …
Aortic blood pressure estimation: a hybrid machine-learning and cross-relation approach
Aortic blood pressure is a vital signal that provides valuable medical information about
cardiovascular health condition. Noninvasive measurement of this signal is very …
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 …
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
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 …
waveform (APW) practically and reliably. To solve this problem, a two-level adaptive transfer …
Identification of Wiener state–space models utilizing Gaussian sum smoothing
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 …
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
Radial applanation tonometry is a well-established technique for hemodynamic monitoring
and is becoming popular in affordable non-invasive wearable healthcare electronics. To …
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 …
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 …
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
Background and objective The aortic pressure waveform (APW) provides reliable
information for the diagnosis of cardiovascular disease. APW is often measured using a …
information for the diagnosis of cardiovascular disease. APW is often measured using a …