In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Sleep disorders, prevalent in the general population, present significant health challenges.
The current diagnostic approach, based on a manual analysis of overnight polysomnograms …

Study objectives To investigate inter-scorer agreement and scoring time differences
associated with visual and computer-assisted analysis of polysomnographic (PSG) …

In this study, a deep learning model (deepPLM) is shown to automatically detect periodic
limb movement syndrome (PLMS) based on electrocardiogram (ECG) signals. The designed …

Datasets in sleep science present challenges for machine learning algorithms due to
differences in recording setups across clinics. We investigate two deep transfer learning …

Clinical sleep analysis require manual analysis of sleep patterns for correct diagnosis of
sleep disorders. However, several studies have shown significant variability in manual …

In summary, defining PLMS is an ongoing, dynamic process with input both from clinical
sleep medicine and from sleep research. There is no support for the assumption that …

Clinical sleep analysis require manual analysis of sleep patterns for correct diagnosis of
sleep disorders. However, several studies have shown significant variability in manual …

Sleep Spindles contribute to diagnosing several brain-related diseases like sleep apnea,
major depression, etc. Hence, sleep spindle detection from Electroencephalogram (EEG) …