[HTML][HTML] 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 …

Monitoring and analysis of cardiovascular pulse waveforms using flexible capacitive and piezoresistive pressure sensors and machine learning perspective

AH Chowdhury, B Jafarizadeh, AR Baboukani… - Biosensors and …, 2023 - Elsevier
The growing interest in flexible electronics for physiological monitoring, particularly using
flexible pressure sensors for cardiovascular pulse waveforms monitoring, has potential …

Monitoring blood pressure and cardiac function without positioning via a deep learning–assisted strain sensor array

S Li, H Wang, W Ma, L Qiu, K Xia, Y Zhang, H Lu… - Science …, 2023 - science.org
Continuous and reliable monitoring of blood pressure and cardiac function is of great
importance for diagnosing and preventing cardiovascular diseases. However, existing …

NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms …

S Mahmud, N Ibtehaz, A Khandakar… - … Signal Processing and …, 2023 - Elsevier
Abstract Background and Motivations: Continuous Blood Pressure (BP) monitoring is crucial
for real-time health tracking, especially for people with hypertension and cardiovascular …

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 …

[HTML][HTML] Cuff-less blood pressure prediction based on photoplethysmography and modified ResNet

C Qin, Y Li, C Liu, X Ma - Bioengineering, 2023 - mdpi.com
Cardiovascular disease (CVD) has become a common health problem of mankind, and the
prevalence and mortality of CVD are rising on a year-to-year basis. Blood pressure (BP) is …

A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals

J Liu, SC Hu, Z Xiao, Q Hu, D Wang… - … Signal Processing and …, 2023 - Elsevier
Blood pressure (BP) estimation based on photoplethysmography (PPG) signals enables
continuous and comfortable BP measurement, which is important for the clinical …

[HTML][HTML] A novel cuffless blood pressure prediction: uncovering new features and new hybrid ML models

M Nour, K Polat, Ü Şentürk, M Arıcan - Diagnostics, 2023 - mdpi.com
This paper investigates new feature extraction and regression methods for predicting
cuffless blood pressure from PPG signals. Cuffless blood pressure is a technology that …

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 …

[HTML][HTML] A Multi-Parameter Fusion Method for Cuffless Continuous Blood Pressure Estimation Based on Electrocardiogram and Photoplethysmogram

G Ma, J Zhang, J Liu, L Wang, Y Yu - Micromachines, 2023 - mdpi.com
Blood pressure (BP) is an essential physiological indicator to identify and determine health
status. Compared with the isolated BP measurement conducted by traditional cuff …