Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
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 …
care monitoring area. The utilization of machine learning (ML) and deep learning (DL) for BP …
Using CNN and HHT to predict blood pressure level based on photoplethysmography and its derivatives
X Sun, L Zhou, S Chang, Z Liu - Biosensors, 2021 - mdpi.com
According to the WTO, there were 1.13 billion hypertension patients worldwide in 2015. The
WTO encouraged people to check the blood pressure regularly because a large amount of …
WTO encouraged people to check the blood pressure regularly because a large amount of …
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 …
by blood pressure (BP) measurement. However, convenient and accurate 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 …
detection of the morbidity of hypertension, which is a major risk factor for most …
Transfer learning with DWT based clustering for blood pressure estimation of multiple patients
H Mou, J Yu - Journal of Computational Science, 2022 - Elsevier
In this manuscript, we focus on estimating blood pressure (BP) of multiple patients based on
easily-collected pulse wave (PW) data efficiently. In detailed, we first design a Convolutional …
easily-collected pulse wave (PW) data efficiently. In detailed, we first design a Convolutional …
Accurate fiducial point detection using haar wavelet for beat-by-beat blood pressure estimation
M Singla, S Azeemuddin, P Sistla - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Pulse Arrival Time (PAT) derived from Electrocardiogram (ECG) and Photoplethysmogram
(PPG) for cuff-less Blood Pressure (BP) measurement has been a contemporary and widely …
(PPG) for cuff-less Blood Pressure (BP) measurement has been a contemporary and widely …
Non-Invasive blood pressure measurement using A Mobile Phone camera
Y Zhang, X Zhang, J Du - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
In recent years, health sensing through smartphones has been more and more popular with
the improvement of sensors and processing capacity. In this paper, we focus on capturing a …
the improvement of sensors and processing capacity. In this paper, we focus on capturing a …
Learning-based model for central blood pressure estimation using feature extracted from ECG and PPG signals
Pre-detection of hypertension mostly considers the measurement of Brachial Artery Blood
Pressure (BABP). Although being a standard vital, it is still considered a poor alternative for …
Pressure (BABP). Although being a standard vital, it is still considered a poor alternative for …
[PDF][PDF] A deep learning-based continuous blood pressure measurement by dual photoplethysmography signals
CT Yen, SN Chang, L Jia-Xian… - Computers, Materials & …, 2022 - cdn.techscience.cn
This study proposed a measurement platform for continuous blood pressure estimation
based on dual photoplethysmography (PPG) sensors and a deep learning (DL) that can be …
based on dual photoplethysmography (PPG) sensors and a deep learning (DL) that can be …