Over the past two decades, machine learning systems have been proliferating in the
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …

Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's
vital (life-sustaining) functions. BP is difficult to continuously monitor using a …

Blood pressure (BP) is a direct indicator for hypertension, therefore, continuous and non-
invasive BP monitoring is essential for reducing future health complications. Most non …

Conventional blood pressure (BP) measurement methods have different drawbacks such as
being invasive, cuff-based or requiring manual operations. There is significant interest in the …

Cardiovascular diseases are one of the most severe causes of mortality, annually taking a
heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the …

This paper presents a deep learning model'PP-Net'which is the first of its kind, having the
capability to estimate the physiological parameters: Diastolic blood pressure (DBP), Systolic …

Hypertension or high blood pressure is a major health problem worldwide and primary risk
factor for cardiovascular disease. Blood pressure is one of the four vital signs that provides …

Cardiovascular related diseases are the most significant health concern around the globe.
The most crucial health indicator is blood pressure because it gives essential information …

Continuous vital signal monitoring is becoming more relevant in preventing diseases that
afflict a large part of the world's population; for this reason, healthcare equipment should be …

Objective Easy access bio-signals are useful to alleviate the shortcomings and difficulties of
cuff-based and invasive blood pressure (BP) measuring techniques. This study proposes a …