Wearable devices with skin-like mechanical properties enable continuous monitoring of the
human body. However, wearable device design has mainly focused on recording superficial …

Photoplethysmography (PPG) is an affordable and straightforward optical technique used to
detect changes in blood volume within tissue microvascular beds. PPG technology has …

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 …

Ambulatory monitoring is increasingly important for cardiovascular care but is often limited
by the unpredictability of cardiovascular events, the intermittent nature of ambulatory …

The Photoplethysmogram (PPG) is fast becoming the most popular monitoring tool because
of its ease of measurement, via the pulse oximeter, and because of its ability to provide …

Healthcare is expected to increasingly shift care out of inpatient settings thanks to wearable
monitoring systems. Photoplethysmography (PPG) is an optical technique already integrated …

Background Photoplethysmography (PPG) is a low-cost and easy-to-implement method to
measure vital signs, including heart rate (HR) and pulse rate variability (PRV) which widely …

In this paper, we present a personalized deep learning approach to estimate blood pressure
(BP) using the photoplethysmogram (PPG) signal. We propose a hybrid neural network …

Heart rate variability has been largely used for the assessment of cardiac autonomic activity,
due to the direct relationship between cardiac rhythm and the activity of the sympathetic and …

In this paper, we present a machine learning model to estimate the blood pressure (BP) of a
person using only his photoplethysmogram (PPG) signal. We propose algorithms to better …