A multiple linear regression model for carotid-to-femoral pulse wave velocity estimation based on schrodinger spectrum characterization

JMV Garcia, MA Bahloul… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
In this paper, a multiple linear regression model for estimating the Carotid-to-femoral pulse
wave velocity (cf-PWV) from a single non-invasive peripheral pulse wave, namely blood …

A learning-based image processing approach for pulse wave velocity estimation using spectrogram from peripheral pulse wave signals: An in silico study

JM Vargas, MA Bahloul, TM Laleg-Kirati - Frontiers in Physiology, 2023 - frontiersin.org
Carotid-to-femoral pulse wave velocity (cf-PWV) is considered a critical index to evaluate
arterial stiffness. For this reason, estimating Carotid-to-femoral pulse wave velocity (cf-PWV) …

Advancing PPG-based cf-PWV estimation with an integrated CNN-BiLSTM-Attention model

KP Abrisham, K Alipour, B Tarvirdizadeh… - Signal, Image and Video …, 2024 - Springer
Carotid-to-femoral pulse wave velocity (cf-PWV) is essential for assessing arterial stiffness
and managing cardiovascular diseases (CVDs). Traditional cf-PWV measurement methods …

Spectrogram Image-based Machine Learning Model for Carotid-to-Femoral Pulse Wave Velocity Estimation Using PPG Signal

MA Bahloul, TM Laleg-Kirati - 2022 IEEE-EMBS International …, 2022 - ieeexplore.ieee.org
Carotid-to-femoral pulse wave velocity (cf-PWV) is a critical biomarker for evaluating arterial
stiffness and cardiovascular risk. Monitoring cf-PWV is essential for cardiovascular disease …

Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics

KP Abrisham, K Alipour… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs), a leading cause of global mortality, are intricately linked to
arterial stiffness, a key factor in cardiovascular health. Non-invasive assessment of arterial …

Contributions to data-driven and fractional-order model-based approaches for arterial haemodynamics characterization and aortic stiffness estimation

M Bahloul - 2022 - repository.kaust.edu.sa
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. Patients at
risk of evolving CVDs are assessed by evaluating a risk factor-based score that incorporates …

Predicting Vascular Age using PPG Signals and Machine Learning Algorithms: A Non-Invasive Approach for Early Cardiovascular Risk Detection

KP Abrisham, K Alipour… - 2023 11th RSI …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) pose a significant global health challenge, necessitating
effective strategies for early risk assessment and intervention. Arterial stiffness, a critical …

Pulse Wave Velocity Estimation Using Photoplethysmogram-Based Limited Penetrable Weighted Visibility Graph Features

JM Vargas, MM Boularas, MA Bahloul… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
In this paper, we propose a data-driven model lever-aging a Limited Penetrable Weighted
Visibility Graph (LPWVG) derived from the photoplethysmogram (PPG) waveform for Pulse …

Machine learning techniques applied to in-silico pulse wave velocity estimation based on photoplethysmographic signals

V Debuchy, M Khalifa, P Tresson… - 2024 32nd …, 2024 - ieeexplore.ieee.org
Carotid femoral pulse wave velocity (cf-PWV) is the gold standard measurement of arterial
stiffness that has been recognized as an effective cardiovascular disease (CVD) risk …

Exploring the Feasibility of Estimating the Carotid-to-Femoral Pulse Wave Velocity Using Machine Learning Algorithms

MA Bahloul, JM Vargas, Z Belkhatir… - Non-Invasive Health …, 2024 - taylorfrancis.com
This chapter discusses the potential use of machine learning-assisted assessment of arterial
stiffness (AS), particularly carotid-to-femoral pulse wave velocity (cf-PWV), which is …