BrainNet with Connectivity Attention for Individualized Predictions Based on Multi-Facet Connections Extracted from Resting-State fMRI Data

Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG

“…Instead, sleep is divided into several stages, each of which may be differentiated by the pattern of brain wave activity that occurs throughout each stage [28,29]. EEG may be used to examine these variations in brain wave events, distinguished by the amplitude and frequency of the brain waves [28,30,31]. The authors had reviewed the datasets from SleepEdfX [14], Maintenance of Wakefulness Test (MWT) [16], Drowsiness-DB [15], Haaglanden Medisch Centrum Data (HMC) [17] and Computational Clinical Neurophysiology Laboratory (CCNL) [18], the details of which have been summarized in Table I.…”