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 …
factor for cardiovascular disease. Blood pressure is one of the four vital signs that provides …
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 …
invasive BP monitoring is essential for reducing future health complications. Most non …
Generalized deep neural network model for cuffless blood pressure estimation with photoplethysmogram signal only
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP)
estimation models have been developed based on physiological parameters extracted from …
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 …
cuff-based and invasive blood pressure (BP) measuring techniques. This study proposes 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 …
detection of abnormal blood pressure can help patients to get early treatment and reduce …
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 …
estimation based on measured photoplethysmogram (PPG) waveforms are reviewed by this …
PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning
The continuous measurement of blood pressure (BP) plays an important role in preventing
cardiovascular diseases. However, common cuff-based devices with cumbersome …
cardiovascular diseases. However, common cuff-based devices with cumbersome …
End-to-end deep learning architecture for continuous blood pressure estimation using attention mechanism
Blood pressure (BP) is a vital sign that provides fundamental health information regarding
patients. Continuous BP monitoring is important for patients with hypertension. Various …
patients. Continuous BP monitoring is important for patients with hypertension. Various …
Photoplethysmography and deep learning: enhancing hypertension risk stratification
Blood pressure is a basic physiological parameter in the cardiovascular circulatory system.
Long-term abnormal blood pressure will lead to various cardiovascular diseases, making …
Long-term abnormal blood pressure will lead to various cardiovascular diseases, making …
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 …
being invasive, cuff-based or requiring manual operations. There is significant interest in the …