Objectives: The aim of this study was to classify polysomnography (PSG)-based sleep disorders using actigraphy data using a convolutional neural network (CNN).
Methods: Actigraphy data, PSG data, and diagnoses were obtained from 214 patients from a single-center sleep clinic. P...
Objectives: This study aims to examine the differences in spectral analysis of waking electroencephalography (EEG) patterns between patients with moderate to severe obstructive sleep apnea (OSA) experiencing excessive daytime sleepiness (EDS) and matched healthy participants, to...
Objectives: This study aimed to investigate sleep patterns and chronotypes in Spanish women diagnosed with fibromyalgia syndrome (FMS).
Methods: A descriptive, cross-sectional observational study following the Strengthening the Reporting of Observational Studies in Epidemiology...
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