Artificial intelligence based blood pressure estimation from auscultatory and oscillometric waveforms: a methodological review
Cardiovascular disease is known as the number one cause of death globally, with elevated
blood pressure (BP) being the single largest risk factor. Hence, BP is an important …
blood pressure (BP) being the single largest risk factor. Hence, BP is an important …
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 …
undisturbed and continuous monitoring. Existing cuff-less estimation methods are easily …
[HTML][HTML] A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms
Background and objectives: Continuous and non-invasive blood pressure monitoring would
revolutionize healthcare. Currently, blood pressure (BP) can only be accurately monitored …
revolutionize healthcare. Currently, blood pressure (BP) can only be accurately monitored …
A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
Y Chen, D Zhang, HR Karimi, C Deng, W Yin - Neural Networks, 2022 - Elsevier
Blood pressure (BP) is known as an indicator of human health status, and regular
measurement is helpful for early detection of cardiovascular diseases. Traditional …
measurement is helpful for early detection of cardiovascular diseases. Traditional …
Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network
MS Tanveer, MK Hasan - Biomedical Signal Processing and Control, 2019 - Elsevier
Although photoplethysmogram (PPG) and electrocardiogram (ECG) signals can be used to
estimate blood pressure (BP) by extracting various features, the changes in morphological …
estimate blood pressure (BP) by extracting various features, the changes in morphological …
[HTML][HTML] Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the
blood pressure (BP). Hypertension always leads to other health complications. Continuous …
blood pressure (BP). Hypertension always leads to other health complications. Continuous …
A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms
Continuous blood pressure (BP) monitoring would significantly improve diagnosis and
treatment of hypertension. Current at-home monitoring relies on uncomfortable and …
treatment of hypertension. Current at-home monitoring relies on uncomfortable and …
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 …
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 …
Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features
Objective Noninvasive estimation of cuffless and continuous blood pressure (CC-BP) is
important for prevention and diagnosis of cardiovascular diseases. Many efforts have been …
important for prevention and diagnosis of cardiovascular diseases. Many efforts have been …