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 …

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 …

PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning

Q Hu, D Wang, C Yang - Biomedical Signal Processing and Control, 2022 - Elsevier
The continuous measurement of blood pressure (BP) plays an important role in preventing
cardiovascular diseases. However, common cuff-based devices with cumbersome …

Concatenated convolutional neural network model for cuffless blood pressure estimation using fuzzy recurrence properties of photoplethysmogram signals

AB Malayeri, MB Khodabakhshi - Scientific reports, 2022 - nature.com
Due to the importance of continuous monitoring of blood pressure (BP) in controlling
hypertension, the topic of cuffless BP estimation has been widely studied in recent years. A …

Cuffless blood pressure estimation using chaotic features of photoplethysmograms and parallel convolutional neural network

MB Khodabakhshi, N Eslamyeh, SZ Sadredini… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective As a nonlinear framework in dynamical system analysis,
chaotic approaches are mainly applied to evolve the complexity of biological systems. Due …

Cuffless blood pressure estimation using calibrated cardiovascular dynamics in the photoplethysmogram

H Samimi, HR Dajani - Bioengineering, 2022 - mdpi.com
An important means for preventing and managing cardiovascular disease is the non-
invasive estimation of blood pressure. There is particular interest in developing approaches …

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 …

Noninvasive continuous blood pressure estimation with fewer parameters based on RA-ReliefF feature selection and MPGA-BPN models

L Zhang, Z Ji, F Yang, G Chen - Biomedical Signal Processing and Control, 2023 - Elsevier
Photoplethysmography (PPG) and electrocardiogram (ECG) are closely related to the
cardiovascular system and have substantial waveform parameters associated with blood …

Establishing best practices in photoplethysmography signal acquisition and processing

PH Charlton, K Pilt, PA Kyriacou - Physiological Measurement, 2022 - iopscience.iop.org
Photoplethysmography is now widely utilised by clinical devices such as pulse oximeters,
and wearable devices such as smartwatches. It holds great promise for health monitoring in …

Nonlinear features of photoplethysmography signals for Non-invasive blood pressure estimation

F Shoeibi, E Najafiaghdam, A Ebrahimi - Biomedical Signal Processing …, 2023 - Elsevier
Objective Continuous monitoring of blood pressure (BP) plays an essential role in the
prognosis and prevention of hypertension and related cardiovascular diseases. Moreover …