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 …

A systematic review of machine learning and IoT applied to the prediction and monitoring of cardiovascular diseases

A Cuevas-Chavez, Y Hernandez, J Ortiz-Hernandez… - Healthcare, 2023 - mdpi.com
According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …

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 …

A review of methods for sleep arousal detection using polysomnographic signals

X Qian, Y Qiu, Q He, Y Lu, H Lin, F Xu, F Zhu, Z Liu… - Brain sciences, 2021 - mdpi.com
Multiple types of sleep arousal account for a large proportion of the causes of sleep
disorders. The detection of sleep arousals is very important for diagnosing sleep disorders …

Measuring depression severity based on facial expression and body movement using deep convolutional neural network

D Liu, B Liu, T Lin, G Liu, G Yang, D Qi, Y Qiu… - Frontiers in …, 2022 - frontiersin.org
Introduction Real-time evaluations of the severity of depressive symptoms are of great
significance for the diagnosis and treatment of patients with major depressive disorder …

Cuffless blood pressure measurement using linear and nonlinear optimized feature selection

MMR Khan Mamun, AT Alouani - Diagnostics, 2022 - mdpi.com
The cuffless blood pressure (BP) measurement allows for frequent measurement without
discomfort to the patient compared to the cuff inflation measurement. With the availability of a …

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 …

Prediction of arterial blood pressure waveforms based on multi-task learning

G Ma, L Zheng, W Zhu, X Xing, L Wang, Y Yu - … Signal Processing and …, 2024 - Elsevier
Background Continuous and regular blood pressure (BP) monitoring has great significance
for the prevention and treatment of cardiovascular diseases. Arterial blood pressure (ABP) …

Blood pressure prediction based on multi-sensor information fusion of electrocardiogram, photoplethysmography, and pressure pulse waveform

J Yan, Z Wang, R Guo, H Yan, Y Wang, W Qiu - Measurement, 2025 - Elsevier
Cardiovascular diseases are now the leading cause of death that endangers people's
health. Thus, a precise and reliable blood pressure (BP) prediction method is essential. This …

Fully degradable, highly elastomeric and adhesive silk fibroin electronic skin for microdynamic pressure monitoring

Y Wang, K Qu, S Li, J Zheng, W Qiu, F Ye, Z Xiao… - Chemical Engineering …, 2023 - Elsevier
Highly sensitive soft electronic devices with biocompatibility are essential for epidermis and
implantable applications. Inspired by the mussel adhesion mechanism, we report a silk …