[HTML][HTML] Multimodal photoplethysmography-based approaches for improved detection of hypertension

K Welykholowa, M Hosanee, G Chan… - Journal of Clinical …, 2020 - mdpi.com
Elevated blood pressure (BP) is a major cause of death, yet hypertension commonly goes
undetected. Owing to its nature, it is typically asymptomatic until later in its progression when …

[HTML][HTML] 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 …

EEG-based user identification system using 1D-convolutional long short-term memory neural networks

Y Sun, FPW Lo, B Lo - Expert Systems with Applications, 2019 - Elsevier
Electroencephalographic (EEG) signals have been widely used in medical applications, yet
the use of EEG signals as user identification systems for healthcare and Internet of Things …

[HTML][HTML] A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms

S Baker, W Xiang, I Atkinson - Computer Methods and Programs in …, 2021 - Elsevier
Background and objectives: Continuous and non-invasive blood pressure monitoring would
revolutionize healthcare. Currently, blood pressure (BP) can only be accurately monitored …

Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives

K Qin, W Huang, T Zhang, S Tang - Artificial Intelligence Review, 2023 - Springer
Blood pressure (BP) estimation is one of the most popular and long-standing topics in health-
care monitoring area. The utilization of machine learning (ML) and deep learning (DL) for BP …

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 …

[HTML][HTML] Analysis of pulse arrival time as an indicator of blood pressure in a large surgical biosignal database: Recommendations for developing ubiquitous blood …

J Lee, S Yang, S Lee, HC Kim - Journal of clinical medicine, 2019 - mdpi.com
As non-invasive continuous blood pressure monitoring (NCBPM) has gained wide attraction
in the recent decades, many pulse arrival time (PAT) or pulse transit time (PTT) based blood …

Noninvasive classification of blood pressure based on photoplethysmography signals using bidirectional long short-term memory and time-frequency analysis

H Tjahjadi, K Ramli, H Murfi - IEEE Access, 2020 - ieeexplore.ieee.org
The photoplethysmography (PPG) method for continuous noninvasive measurements of
blood pressure (BP) offers a more comfortable solution than conventional methods. The …

A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms

S Baker, W Xiang, I Atkinson - Knowledge-Based Systems, 2022 - Elsevier
Continuous blood pressure (BP) monitoring would significantly improve diagnosis and
treatment of hypertension. Current at-home monitoring relies on uncomfortable and …

[HTML][HTML] CNN-LSTM prediction method for blood pressure based on pulse wave

H Mou, J Yu - Electronics, 2021 - mdpi.com
Cardiovascular disease (CVD), which seriously threatens human health, can be prevented
by blood pressure (BP) measurement. However, convenient and accurate BP measurement …