Sažetak The research aims to leverage radio frequency (RF) technology for contactless
sleep parameters measurement and their analysis using machine learning algorithms and …

The study introduces an innovative non-invasive method using Ultra-Wideband (UWB)
technology for monitoring body movements during sleep. Conducted at the Center for sleep …

Sažetak Current sleep monitoring relies on wearable devices that require physical contact
with patients to gather information, potentially affecting measurement results and quality …

Ultra-wideband radar application for sleep breathing monitoring is hampered by the difficulty
of obtaining breathing signals for non-stationary subjects. This occurs due to imprecise …

Sleep study is of major importance for the assessment of sleep apneas, sleep stages or the
diagnosis of sleep disorders. Although there exists a variety of tools for the evaluation of …

In this work, we extract features from an under-the-mattress impulse radio ultra-wide band
(IR-UWB) radar and a microphone, placed on the side table of the bed, to classify epochs …

To date, ultra-wideband (UWB) radar is one of the leading technologies applied in the field
of non-contact vital sign monitoring. A number of studies have focused on processing …

In this work, we apply machine learning to investigate the effectiveness of an Impulse Radio
Ultra-Wide Band (IR-UWB) radar panel, in an under-the-mattress configuration, for detecting …

As an increasing number of people suffer from sleep disorders, such as insomnia or sleep
apnea, sleep monitoring and management using consumer devices have gained increasing …

Vital signs provide important biometric information for managing health and disease, and it
is important to monitor them for a long time in a daily home environment. To this end, we …