Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective
strategy to mitigate the burden of CVDs has been to monitor patients' biomedical variables …

Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

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 …

Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography
(PPG) could open the way for better sleep disorder screening and health monitoring …

Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a
number of domains, eg, for healthcare or fitness applications. Recently, methods based on …

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 …

Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

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

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

Removal of motion artifacts is a critical challenge, especially in wearable
electroencephalography (EEG) and photoplethysmography (PPG) devices that are exposed …