[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 …

Current progress of photoplethysmography and SPO2 for health monitoring

T Tamura - Biomedical engineering letters, 2019 - Springer
A photoplethysmograph (PPG) is a simple medical device for monitoring blood flow and
transportation of substances in the blood. It consists of a light source and a photodetector for …

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 …

Blood pressure detection using CNN-LSTM model

K Gupta, N Jiwani, N Afreen - 2022 IEEE 11th International …, 2022 - ieeexplore.ieee.org
Blood pressure (BP) is a key indication that needs to be checked on a regular basis. For
maintaining a healthy life normal blood pressure is essential, and a continuous change can …

[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 …

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 …

Blood pressure estimation from appropriate and inappropriate PPG signals using A whole-based method

SS Mousavi, M Firouzmand, M Charmi… - … Signal Processing and …, 2019 - Elsevier
Background and objective Blood pressure (BP) is one of the four vital signals that provides
valuable medical information about the cardiovascular activity. In recent years, extensive …

[HTML][HTML] A new machine learning method for predicting systolic and diastolic blood pressure using clinical characteristics

A Shrivastava, M Chakkaravarthy, MA Shah - Healthcare Analytics, 2023 - Elsevier
Hypertension describes elevated blood pressure, which significantly impacts cardiovascular
diseases. Typically, a sphygmomanometer, a cuff-like device, is used to measure a patient's …

Optical blood pressure estimation with photoplethysmography and FFT-based neural networks

X Xing, M Sun - Biomedical optics express, 2016 - opg.optica.org
We introduce and validate a beat-to-beat optical blood pressure (BP) estimation paradigm
using only photoplethysmogram (PPG) signal from finger tips. The scheme determines …

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 …