Assessment of non-invasive blood pressure prediction from ppg and rppg signals using deep learning

F Schrumpf, P Frenzel, C Aust, G Osterhoff, M Fuchs - Sensors, 2021 - mdpi.com
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP)
measurement is interesting for various reasons. First, PPG can easily be measured using …

Assessment of deep learning based blood pressure prediction from PPG and rPPG signals

F Schrumpf, P Frenzel, C Aust… - Proceedings of the …, 2021 - openaccess.thecvf.com
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure BP)
measurement is interesting for various reasons. First, PPG can easily be measured using …

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 …

PPG2ABP: Translating photoplethysmogram (PPG) signals to arterial blood pressure (ABP) waveforms

N Ibtehaz, S Mahmud, MEH Chowdhury, A Khandakar… - Bioengineering, 2022 - mdpi.com
Cardiovascular diseases are one of the most severe causes of mortality, annually taking a
heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the …

Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks

N Ibtehaz, S Mahmud, MEH Chowdhury… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

A benchmark for machine-learning based non-invasive blood pressure estimation using photoplethysmogram

S González, WT Hsieh, TPC Chen - Scientific Data, 2023 - nature.com
Blood Pressure (BP) is an important cardiovascular health indicator. BP is usually monitored
non-invasively with a cuff-based device, which can be bulky and inconvenient. Thus …

A deep learning approach to predict blood pressure from ppg signals

A Tazarv, M Levorato - … conference of the IEEE engineering in …, 2021 - ieeexplore.ieee.org
Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's
vital (life-sustaining) functions. BP is difficult to continuously monitor using a …

An estimation method of continuous non-invasive arterial blood pressure waveform using photoplethysmography: A U-Net architecture-based approach

T Athaya, S Choi - Sensors, 2021 - mdpi.com
Blood pressure (BP) monitoring has significant importance in the treatment of hypertension
and different cardiovascular health diseases. As photoplethysmogram (PPG) signals can be …

Personalized blood pressure estimation using photoplethysmography: A transfer learning approach

J Leitner, PH Chiang, S Dey - IEEE Journal of Biomedical and …, 2021 - ieeexplore.ieee.org
In this paper, we present a personalized deep learning approach to estimate blood pressure
(BP) using the photoplethysmogram (PPG) signal. We propose a hybrid neural network …

A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals

J Esmaelpoor, MH Moradi… - Computers in Biology …, 2020 - Elsevier
Objective Easy access bio-signals are useful to alleviate the shortcomings and difficulties of
cuff-based and invasive blood pressure (BP) measuring techniques. This study proposes a …