[HTML][HTML] A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure

C El-Hajj, PA Kyriacou - Biomedical Signal Processing and Control, 2020 - Elsevier
Hypertension or high blood pressure is a leading cause of death throughout the world and a
critical factor for increasing the risk of serious diseases, including cardiovascular diseases …

A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors

S Maqsood, S Xu, S Tran, S Garg, M Springer… - Expert Systems with …, 2022 - Elsevier
Over the past two decades, machine learning systems have been proliferating in the
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …

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 …

Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism

C El-Hajj, PA Kyriacou - Biomedical Signal Processing and Control, 2021 - Elsevier
Hypertension or high blood pressure is a major health problem worldwide and primary risk
factor for cardiovascular disease. Blood pressure is one of the four vital signs that provides …

Real-time cuffless continuous blood pressure estimation using deep learning model

YH Li, LN Harfiya, K Purwandari, YD Lin - Sensors, 2020 - mdpi.com
Blood pressure monitoring is one avenue to monitor people's health conditions. Early
detection of abnormal blood pressure can help patients to get early treatment and reduce …

Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models

C El-Hajj, PA Kyriacou - Biomedical Signal Processing and Control, 2021 - Elsevier
Blood pressure (BP) is a direct indicator for hypertension, therefore, continuous and non-
invasive BP monitoring is essential for reducing future health complications. Most non …

Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet

PH Charlton, B Paliakaitė, K Pilt… - American Journal …, 2022 - journals.physiology.org
The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …

MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks

B Huang, W Chen, CL Lin, CF Juang, J Wang - … Signal Processing and …, 2022 - Elsevier
High blood pressure (BP) is a major source of death worldwide as it slows down the flow of
blood and oxygen, and leads to various chronic diseases such as chest pain (angina), heart …

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 …

End-to-end deep learning architecture for continuous blood pressure estimation using attention mechanism

H Eom, D Lee, S Han, YS Hariyani, Y Lim, I Sohn… - Sensors, 2020 - mdpi.com
Blood pressure (BP) is a vital sign that provides fundamental health information regarding
patients. Continuous BP monitoring is important for patients with hypertension. Various …