[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 …

[HTML][HTML] Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques

MH Chowdhury, MNI Shuzan, MEH Chowdhury… - Sensors, 2020 - mdpi.com
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 …

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 …

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 …

Investigation on the effect of Womersley number, ECG and PPG features for cuff less blood pressure estimation using machine learning

G Thambiraj, U Gandhi, U Mangalanathan… - … Signal Processing and …, 2020 - Elsevier
Objective Regulation and inhibition of high blood pressure, known as hypertension are
intricate, and it demands a continuous, accurate blood pressure measurement system. All …

A non-invasive continuous cuffless blood pressure estimation using dynamic recurrent neural networks

U Senturk, K Polat, I Yucedag - Applied Acoustics, 2020 - Elsevier
Cardiovascular diseases (CVD) have become the most important health problem of our time.
High blood pressure, which is cardiovascular disease, is a risk factor for death, stroke, and …

Blood pressure estimation from PPG signals using convolutional neural networks and Siamese network

O Schlesinger, N Vigderhouse… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Blood pressure (BP) is a vital sign of the human body and an important parameter for early
detection of cardiovascular diseases. It is usually measured using cuff-based devices or …

Video-based contactless blood pressure estimation: A review

Y Lu, C Wang, MQH Meng - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Hypertension (HTN) is viewed as a significant but modifiable element to Cardiovascular
disease (CVD). A non-invasive BP monitoring system continuously is beneficial to early …

Noninvasive blood pressure classification based on photoplethysmography using k-nearest neighbors algorithm: a feasibility study

H Tjahjadi, K Ramli - Information, 2020 - mdpi.com
Blood pressure (BP) is an important parameter for the early detection of heart disease
because it is associated with symptoms of hypertension or hypotension. A single …

Cuffless and continuous blood pressure estimation from PPG signals using recurrent neural networks

C El Hajj, PA Kyriacou - … conference of the IEEE engineering in …, 2020 - ieeexplore.ieee.org
This paper proposes cuffless and continuous blood pressure estimation utilising
Photoplethysmography (PPG) signals and state of the art recurrent network models, namely …