Blood glucose level needs to be monitored regularly to manage the health condition of
hyperglycemic patients. The current glucose measurement approaches still rely on invasive …

With the rise of wearable devices, which integrate myriad of health-care and fitness
procedures into daily life, a reliable method for measuring various bio-signals in a daily …

Rapid, reliable and accurate interpretation of medical time series signals is crucial for high-
stakes clinical decision-making. Deep learning methods offered unprecedented …

Sleep staging is an essential component in the diagnosis of sleep disorders and
management of sleep health. Sleep is traditionally measured in a clinical setting and …

A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique
widely used in the healthcare domain to extract valuable health-related information, eg …

Forecasts about the aging trend of the world population agree on identifying increased life
expectancy as a serious risk factor for the financial sustainability of social healthcare …

Viruses have threatened animal and human lives since a long time ago all over the world.
Some of these tiny particles have caused disastrous pandemics that killed a large number of …

A new method for accurately estimating heart rates based on a single
photoplethysmography (PPG) signal and accelerations is proposed in this study …

Recent years have witnessed the publication of many research articles regarding the
contactless measurement and monitoring of heart rate signals deduced from facial video …

Non-invasive healthcare monitoring systems based on machine learning and wearable
sensors hold the future of smart health. Ubiquitous use of smartphones makes them an …