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 …

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 …

Generalized deep neural network model for cuffless blood pressure estimation with photoplethysmogram signal only

YC Hsu, YH Li, CC Chang, LN Harfiya - Sensors, 2020 - mdpi.com
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP)
estimation models have been developed based on physiological parameters extracted from …

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 …

The machine learnings leading the cuffless PPG blood pressure sensors into the next stage

PCP Chao, CC Wu, DH Nguyen… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Recent works on the machine learnings designed for cuffless blood pressure (BP)
estimation based on measured photoplethysmogram (PPG) waveforms are reviewed by this …

Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model

S Yang, Y Zhang, SY Cho, R Correia… - Optical and Quantum …, 2021 - Springer
Conventional blood pressure (BP) measurement methods have different drawbacks such as
being invasive, cuff-based or requiring manual operations. There is significant interest in the …

Novel deep convolutional neural network for cuff-less blood pressure measurement using ECG and PPG signals

C Yan, Z Li, W Zhao, J Hu, D Jia… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Cuff-less blood pressure (BP) is a potential method for BP monitoring because it is
undisturbed and continuous monitoring. Existing cuff-less estimation methods are easily …

Concatenated convolutional neural network model for cuffless blood pressure estimation using fuzzy recurrence properties of photoplethysmogram signals

AB Malayeri, MB Khodabakhshi - Scientific reports, 2022 - nature.com
Due to the importance of continuous monitoring of blood pressure (BP) in controlling
hypertension, the topic of cuffless BP estimation has been widely studied in recent years. A …

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 …

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 …