scholarly journals Determination of aortic pulse transit time based on waveform decomposition of radial pressure wave

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wenyan Liu ◽  
Daiyuan Song ◽  
Yang Yao ◽  
Lin Qi ◽  
Liling Hao ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Transit Time ◽  
Pressure Wave ◽  
Time Lag ◽  
Pulse Transit Time ◽  
Regression Function ◽  
Zero Point ◽  
Radial Pressure ◽  
Pressure Waves ◽  
Backward Wave

AbstractCarotid-femoral pulse transit time (cfPTT) is a widely accepted measure of central arterial stiffness. The cfPTT is commonly calculated from two synchronized pressure waves. However, measurement of synchronized pressure waves is technically challenging. In this paper, a method of decomposing the radial pressure wave is proposed for estimating cfPTT. From the radial pressure wave alone, the pressure wave can be decomposed into forward and backward waves by fitting a double triangular flow wave. The first zero point of the second derivative of the radial pressure wave and the peak of the dicrotic segment of radial pressure wave are used as the peaks of the fitted double triangular flow wave. The correlation coefficient between the measured wave and the estimated forward and backward waves based on the decomposition of the radial pressure wave was 0.98 and 0.75, respectively. Then from the backward wave, cfPTT can be estimated. Because it has been verified that the time lag estimation based on of backward wave has strong correlation with the measured cfPTT. The corresponding regression function between the time lag estimation of backward wave and measured cfPTT is y = 0.96x + 5.50 (r = 0.77; p < 0.001). The estimated cfPTT using radial pressure wave decomposition based on the proposed double triangular flow wave is more accurate and convenient than the decomposition of the aortic pressure wave based on the triangular flow wave. The significance of this study is that arterial stiffness can be directly estimated from a noninvasively measured radial pressure wave.

scholarly journals Radial pulse transit time is an index of arterial stiffness

2011 ◽  
Vol 34 (7) ◽  
pp. 884-887 ◽  
Author(s):  
Yong-Liang Zhang ◽  
Ying-Ying Zheng ◽  
Zu-Chang Ma ◽  
Yi-Ning Sun
Keyword(s):  
Arterial Stiffness ◽  
Transit Time ◽  
Pulse Transit Time ◽  
Radial Pulse

Estimation of Pulse Transit Time From Radial Pressure Waveform Alone by Artificial Neural Network

2018 ◽  
Vol 22 (4) ◽  
pp. 1140-1147 ◽  
Author(s):  
Hanguang Xiao ◽  
Mark Butlin ◽  
Isabella Tan ◽  
Ahmad Qasem ◽  
Alberto P. Avolio
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Transit Time ◽  
Pulse Transit Time ◽  
Radial Pressure ◽  
Pressure Waveform ◽  
Artificial Neural

scholarly journals Modeling of arterial stiffness using variations of pulse transit time

2013 ◽  
Vol 10 (1) ◽  
pp. 547-565 ◽  
Author(s):  
Aleksandar Peulic ◽  
Natasa Milojevic ◽  
Emil Jovanov ◽  
Milos Radovic ◽  
Igor Saveljic ◽  
...  
Keyword(s):  
Finite Element ◽  
Arterial Stiffness ◽  
Transit Time ◽  
Pulse Transit Time ◽  
Element Model ◽  
Elastic Behavior ◽  
Structure Model ◽  
Breathing Patterns ◽  
Fitting Procedure

In this paper, a finite element (FE) modeling is used to model effects of the arterial stiffness on the different signal patterns of the pulse transit time (PTT). Several different breathing patterns of the three subjects are measured with PTT signal and corresponding finite element model of the straight elastic artery is applied. The computational fluid-structure model provides arterial elastic behavior and fitting procedure was applied in order to estimate Young?s module of stiffness of the artery. It was found that approximately same elastic Young?s module can be fitted for specific subject with different breathing patterns which validate this methodology for possible noninvasive determination of the arterial stiffness.

scholarly journals Arterial stiffness modeling using variations of pulse transit time

2011 ◽  
Author(s):  
A. Peulic ◽  
E. Jovanov ◽  
M. Radovic ◽  
I. Saveljic ◽  
N. Zdravkovic ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Transit Time ◽  
Pulse Transit Time ◽  
Stiffness Modeling

scholarly journals Non-Invasive Device for Blood Pressure Wave Acquisition by Means of Mechanical Transducer

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4311
Author(s):  
David Zambrana-Vinaroz ◽  
Jose Vicente-Samper ◽  
Carlos G. Juan ◽  
Vicente Esteve-Sala ◽  
Jose Sabater-Navarro
Keyword(s):  
Blood Pressure ◽  
Carotid Artery ◽  
Pressure Wave ◽  
Pulse Transit Time ◽  
Pressure Increase ◽  
Pressure Waves ◽  
Non Invasive ◽  
Mechanical Transducer ◽  
Characteristic Points ◽  
Invasive Device

Blood pressure wave monitoring provides interesting information about the patient’s cardiovascular function. For this reason, this article proposes a non-invasive device capable of capturing the vibrations (pressure waves) produced by the carotid artery by means of a pressure sensor encapsulated in a closed dome filled with air. When the device is placed onto the outer skin of the carotid area, the vibrations of the artery will exert a deformation in the dome, which, in turn, will lead to a pressure increase in its inner air. Then, the sensor inside the dome captures this pressure increase. By combining the blood pressure wave obtained with this device together with the ECG signal, it is possible to help the screening of the cardiovascular system, obtaining parameters such as heart rate variability (HRV) and pulse transit time (PTT). The results show how the pressure wave has been successfully obtained in the carotid artery area, discerning the characteristic points of this signal. The features of this device compare well with previous works by other authors. The main advantages of the proposed device are the reduced size, the cuffless condition, and the potential to be a continuous ambulatory device. These features could be exploited in ambulatory tests.

A NEW SYSTEM FOR MEASUREMENT OF THE PULSE TRANSIT TIME, THE PULSE WAVE VELOCITY AND ITS ANALYSIS

2017 ◽  
Vol 17 (01) ◽  
pp. 1750010 ◽  
Author(s):  
MED. ANES. BEREKSI-REGUIG ◽  
F. BEREKSI-REGUIG ◽  
A. NAIT ALI
Keyword(s):  
Arterial Stiffness ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Transit Time ◽  
Pulse Wave ◽  
Pulse Transit Time ◽  
Its Analysis ◽  
Pulse Wave Transit Time ◽  
New System

Arterial stiffness is a strong determinant of cardiovascular risk. Pulse wave velocity (PWV) is an index of arterial stiffness, and its prognostic value has been repeatedly emphasized. The work presented in this paper is concerned with the design of a new system for measurement of the PWV and analysis. It is in fact related to the description of the hardware setup and the software development in order to measure and analyze the PWV. In the proposed system, the determination of the PWV is carried out through the measurement of the pulse wave transit time (PWTT) using the electrocardiogram (ECG) and the photoplethysmogram (PPG) and the distance separating the site of ejection of the systolic pulse and the site of measuring the PPG signal. The hardware setup therefore consists of an optical device to detect the PPG and electrodes to detect ECG, and different boards to process and digitalize these signals to be acquired in the PC and analyzed. The developed software is concerned with first, the acquisition and processing of both ECG and PPG signals then the determination of the PWV and finally its analysis for different subjects and conditions. The analysis of the PWV is carried out for subjects of different ages in different physiological conditions according to heart activity. The obtained results show that there is a high correlation ([Formula: see text]), between heart rate variability (HRV) and PWV. They also show that PWV increases with age. The analysis of the PWV variations with age is also carried out through different regression models. The obtained result shows that the cubic regression model best fits these variations.

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