Cuffless blood pressure (BP) measurement has become a popular field due to clinical need
and technological opportunity. However, no method has been broadly accepted hitherto …

The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …

Smart wearables provide an opportunity to monitor health in daily life and are emerging as
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …

Abstract The Internet of Things (IoT) is the most promising technology in health technology
systems. IoT-based systems ensure continuous monitoring in indoor and outdoor settings …

The use of machine learning techniques in medicine has increased in recent years due to a
rise in publicly available datasets. These techniques have been applied in high blood …

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 …

Hypertension describes elevated blood pressure, which significantly impacts cardiovascular
diseases. Typically, a sphygmomanometer, a cuff-like device, is used to measure a patient's …

Optical pulse detection 'photoplethysmography'(PPG) provides a means of low cost and
unobtrusive physiological monitoring that is popular in many wearable devices. However …

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 …

Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …