SleepBP-Net: A time-distributed convolutional network for nocturnal blood pressure estimation from photoplethysmogram
Nocturnal blood pressure (BP) monitoring offers valuable insights into various aspects of
human wellbeing, particularly cardiovascular health. Despite recent advancements in …
human wellbeing, particularly cardiovascular health. Despite recent advancements in …
Estimating blood pressure trends and the nocturnal dip from photoplethysmography
M Radha, K De Groot, N Rajani… - Physiological …, 2019 - iopscience.iop.org
Objective. Evaluate a method for the estimation of the nocturnal systolic blood pressure
(SBP) dip from 24 h blood pressure trends using a wrist-worn photoplethysmography (PPG) …
(SBP) dip from 24 h blood pressure trends using a wrist-worn photoplethysmography (PPG) …
Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network
G Slapničar, N Mlakar, M Luštrek - Sensors, 2019 - mdpi.com
Blood pressure (BP) is a direct indicator of hypertension, a dangerous and potentially deadly
condition. Regular monitoring of BP is thus important, but many people have aversion …
condition. Regular monitoring of BP is thus important, but many people have aversion …
BP-Net: Efficient deep learning for continuous arterial blood pressure estimation using photoplethysmogram
KR Vardhan, S Vedanth, G Poojah… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases
and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent …
and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent …
Estimating Continuous Blood Pressure from Photoplethysmogram Signals for Non-invasive Devices by Convolutional Neural Network
BA Dong, PM Hoang - 2023 IEEE Statistical Signal Processing …, 2023 - ieeexplore.ieee.org
Blood pressure (BP) is a crucial indicator of abnormal levels of stress on blood vessel walls,
including hypertension or hypotension. Although several studies have attempted to predict …
including hypertension or hypotension. Although several studies have attempted to predict …
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram
V Vijayaraghavan - arXiv preprint arXiv:2111.14558, 2021 - arxiv.org
Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases
and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent …
and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent …
Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications
F Schrumpf, PR Serdack… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Photoplethysmographic (PPG) signals offer diagnostic potential beyond heart rate analysis
or blood oxygen level monitoring. In the recent past, research focused extensively on non …
or blood oxygen level monitoring. In the recent past, research focused extensively on non …
Nocturnal Blood Pressure Estimation from Sleep Plethysmography Using Machine Learning
Background: Elevated nocturnal blood pressure (BP) is a risk factor for cardiovascular
disease (CVD) and mortality. Cuffless BP assessment aided by machine learning could be a …
disease (CVD) and mortality. Cuffless BP assessment aided by machine learning could be a …
Significant Improvement in Precision of Real-Time Blood Pressure Prediction Based on Complete Cycles of Measured PPGs
DH Nguyen, PCP Chao - 2023 IEEE SENSORS, 2023 - ieeexplore.ieee.org
A novel approach is presented for accurate and continuous monitoring of blood pressure
(BP) using photoplethysmography (PPG) signals. The limitations of previous methodologies …
(BP) using photoplethysmography (PPG) signals. The limitations of previous methodologies …
Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks
Cardiovascular diseases are one of the most severe causes of mortality, taking a heavy toll
of lives annually throughout the world. The continuous monitoring of blood pressure seems …
of lives annually throughout the world. The continuous monitoring of blood pressure seems …