Non-invasive techniques have become increasingly vital in modern medicine, providing
valuable diagnostic information without invasive procedures. These techniques encompass …

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 …

Traditional cuff-based sphygmomanometers for measuring blood pressure can be
uncomfortable and particularly unsuitable to use during sleep. A proposed alternative …

Arterial blood pressure (ABP) monitoring may permit the early diagnosis and management
of cardiovascular disease (CVD); however, existing methods for measuring ABP outside the …

Blood pressure (BP) is among the most important vital signals. Estimation of absolute BP
solely using photoplethysmography (PPG) has gained immense attention over the last …

Given that current cuffless blood pressure (BP) measurement technologies feature
acceptable overall accuracy, this paper proposed a sufficiently accurate cuffless BP …

An important means for preventing and managing cardiovascular disease is the non-
invasive estimation of blood pressure. There is particular interest in developing approaches …

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 …

Cuff-less blood pressure measurement plays a pivotal part in hypertension diagnosis and
prevention. By employing deep learning algorithms, blood pressure estimation applying …

Hypertension has become a major factor affecting people's health. Timely monitoring and
prevention of hypertension are of great significance. Most blood-pressure monitoring …