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 continuous cuffless blood pressure estimation using tree-based pipeline optimization tool

SM Fati, A Muneer, NA Akbar, SM Taib - Symmetry, 2021 - mdpi.com
High blood pressure (BP) may lead to further health complications if not monitored and
controlled, especially for critically ill patients. Particularly, there are two types of blood …

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 …

Higher order derivative-based integrated model for cuff-less blood pressure estimation and stratification using PPG signals

S Gupta, A Singh, A Sharma… - IEEE sensors journal, 2022 - ieeexplore.ieee.org
Precise blood pressure (BP) estimation is vital for diagnosing arterial hypertension and other
cardiovascular ailments. The photoplethysmogram (PPG)-based cuff-less BP measurement …

Cuffless blood pressure estimation based on composite neural network and graphics information

Y Qiu, D Liu, G Yang, D Qi, Y Lu, Q He, X Qian… - … Signal Processing and …, 2021 - Elsevier
Blood pressure (BP) assessment and dynamic detection are of great significance for timely
detection of the morbidity of hypertension, which is a major risk factor for most …

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 …

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 …

A non-invasive continuous blood pressure estimation approach based on machine learning

S Chen, Z Ji, H Wu, Y Xu - Sensors, 2019 - mdpi.com
Considering the existing issues of traditional blood pressure (BP) measurement methods
and non-invasive continuous BP measurement techniques, this study aims to establish the …

A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors

S Maqsood, S Xu, S Tran, S Garg, M Springer… - Expert Systems with …, 2022 - Elsevier
Over the past two decades, machine learning systems have been proliferating in the
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …