Arterial blood pressure (ABP) serves as a pivotal clinical metric in cardiovascular health
assessments, with the precise forecasting of continuous blood pressure assuming a critical …

Cardiovascular diseases are the most common causes of death around the world. To detect
and treat heart-related diseases, continuous blood pressure (BP) monitoring along with …

Cardiovascular disease is one of the most serious causes of death, causing serious loss of
life in the world every year. In this paper, we present a deep learning approach to estimate …

Measuring continuous blood pressure (BP) in real time by using a mobile health (mHealth)
application would open a new door in the advancement of the healthcare system. This study …

Abstract Background and Motivations: Continuous Blood Pressure (BP) monitoring is crucial
for real-time health tracking, especially for people with hypertension and cardiovascular …

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 …

Objective Arterial blood pressure (ABP) waveforms include physiological parameters closely
related to BP values, while only a few studies predict BP values through the monitoring ABP …

In order to accurately predict blood pressure waveform from pulse waveform, a multiple
gated recurrent unit (GRU) model embedded in squeeze-andexcitation network (SENet) is …

In this paper, we propose an efficient and robust convolutional autoencoder (CAE) model for
continuous realtime blood pressure (BP) monitoring. The proposed model was implemented …

Recently, deep learning (DL) architectures have been widely used for PPG-based blood
pressure (BP) monitoring due to their powerful feature extraction ability. However, the DL …