Sleep apnea is a sleep related disorder that significantly affects the population.
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …

Sleep apnea is one of the most common sleep disorders and the consequences of
undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to …

Cardiovascular diseases (CVD) are often characterized by their multifactorial complexity.
This makes remote monitoring and ambulatory cardiac rehabilitation (CR) therapy …

Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed
through an overnight sleep study in a specialized sleep clinic. This setup is expensive and …

Objective: Automatic detection and analysis of respiratory events in sleep using a single
respiratoryeffort belt and deep learning. Methods: Using 9,656 polysomnography recordings …

Human respiratory information is being used as an important source of biometric information
that can enable the analysis of health status in the healthcare domain. The analysis of the …

Sleep apnea (SLA) is one of the most common sleep-related disorders, and the effects of
undiagnosed SLA can range from high blood pressure to cardiac arrest. However, the …

Methods developed for automatic sleep stage detection make use of large amounts of data
in the form of polysomnographic (PSG) recordings to build predictive models. In this study …

Automatic sleep stage detection can be performed using a variety of input signals from a
polysomnographic (PSG) recording. In this study, we investigate the effect of different input …

Sleep apnea syndrome (SAS) is the most common sleep disorder which affects human life
and health. Many researchers use deep learning methods to automatically learn the features …