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We propose to collect the wrist photoplethysmograph (PPG) signal and create models to predict the indicators of atherosclerosis (cardiovascular age and right ...
This study uses the maximum correlation coefficient method for feature selection and establishes multiple models to predict cardiovascular age and the right ...
May 31, 2024 · This study uses the maximum correlation coefficient method for feature selection and establishes multiple models to predict cardiovascular age ...
Dec 1, 2021 · To further predict the atherosclerosis index, based on predicting the cardiovascular age, the right baPWV was selected as the prediction target.
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Photoplethysmogram based vascular aging assessment using the deep ...
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Jul 5, 2022 · In this study, we propose a method for age estimation by applying deep learning to a photoplethysmogram (PPG) for the non-invasive assessment of the vascular ...
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This review outlines the latest methods and innovations for assessing arterial stiffness, along with their respective advantages and disadvantages.
Sep 30, 2024 · This study introduces a systematic evaluation of ankle‐brachial index and photoplethysmography (PPG) in detecting peripheral arterial disease ...
We developed a deep learning PPG-based CVD risk score (DLS) to predict the probability of having major adverse cardiovascular events (MACE)
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Jun 4, 2024 · We developed a deep learning PPG-based CVD risk score (DLS) to predict the probability of having major adverse cardiovascular events (MACE: non- ...
A proof-of-concept study to assess the potential of a deep learning (DL) based photoplethysmography PPG ('DLPPG') classification method to detect peripheral ...