Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring

L Zhao, C Liang, Y Huang, G Zhou, Y Xiao, N Ji… - npj Digital …, 2023 - nature.com
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 …

Advances in cuffless continuous blood pressure monitoring technology based on PPG signals

C Qin, X Wang, G Xu, X Ma - BioMed Research International, 2022 - Wiley Online Library
Objective. To review the progress of research on photoplethysmography‐(PPG‐) based
cuffless continuous blood pressure monitoring technologies and prospect the challenges …

Hybrid modeling on reconstitution of continuous arterial blood pressure using finger photoplethysmography

W Shi, C Zhou, Y Zhang, K Li, X Ren, H Liu… - … Signal Processing and …, 2023 - Elsevier
The continuous estimation of arterial blood pressure (ABP) waveforms directly from single-
channel photoplethysmography (PPG) signals will predictably change the way to monitor …

A multi-type features fusion neural network for blood pressure prediction based on photoplethysmography

M Rong, K Li - Biomedical Signal Processing and Control, 2021 - Elsevier
Blood pressure monitoring is very important for the prevention of cardiovascular diseases. In
this paper, we proposed a multi-type features fusion (MTFF) neural network model for blood …

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 new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation

Y Chen, D Zhang, HR Karimi, C Deng, W Yin - Neural Networks, 2022 - Elsevier
Blood pressure (BP) is known as an indicator of human health status, and regular
measurement is helpful for early detection of cardiovascular diseases. Traditional …

A blood pressure prediction method based on imaging photoplethysmography in combination with machine learning

M Rong, K Li - Biomedical Signal Processing and Control, 2021 - Elsevier
This paper proposes a non-contact blood pressure implement (NCBP) system based on
imaging photoplethysmography (IPPG) The system collects facial videos through a webcam …

Attention-based residual improved U-Net model for continuous blood pressure monitoring by using photoplethysmography signal

M Yu, Z Huang, Y Zhu, P Zhou, J Zhu - Biomedical Signal Processing and …, 2022 - Elsevier
Blood pressure (BP) is an important clinical indicator for cardiovascular health assessment,
and accurate monitoring of continuous BP is still a challenging task. In this paper, an …

Gaussian process regression (GPR) based non-invasive continuous blood pressure prediction method from cuff oscillometric signals

AS Alghamdi, K Polat, A Alghoson, AA Alshdadi… - Applied Acoustics, 2020 - Elsevier
Blood pressure measurement and continuous control are essential for heart and blood
pressure patients. Therefore, continuous blood pressure measurement from these patients is …

Multitask deep label distribution learning for blood pressure prediction

K Qin, W Huang, T Zhang - Information Fusion, 2023 - Elsevier
Cuffless continuous blood pressure (BP) monitoring is of vital importance for personal health
management. Currently, there are extensive studies devoted to cuffless BP prediction based …