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... sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and ... (2019). Dynamic changes in electroencephalogram spectral power with varying ... Brain age from the electroencephalogram of sleep. Neurobiology of ...

... polysomnography included monitoring the electroencephalogram, electrooculogram, electromyogram, oronasal flow ...

... montage consisted of the electroencephalogram (EEG, C3-M2, C4-M1, O2-M1 ...

... Polysomnography (PSG) signal data; electroencephalogram (EEG), electrooculography (EOG), electromyography ...

... be detected from the electroencephalogram (EEG). Spindles appear to ...

... spectral slope of the electroencephalogram (EEG), during wake, NREM ...

Scorer observed abnormal EEG during study.

Due to problems with EEG signals, arousals were ignored in scoring.

Study was scored sleep/wake rather than with full sleep staging. This assessment is made by the scorer if there is not sufficient quality on EEG leads to do full R&K scoring. (0=no (full scoring); 1=yes (sleep/wake only))

Percent of 3-sec epochs with alpha power >30mV2 Younes et al. 2021 (PubMed ID: 34156473)Search for all EEG variables within this dataset

In some PSGs the EEG is generally low in amplitude in all frequency ranges while in others it is high. The reasons for these differences could be technical (distance between active and reference electrode, electrode impedance), biological (e.g. age, skin or skull impedance) or some other reason Younes et al. 2021 (PubMed ID: 34156473). This index was recently found to be a risk factor for future development of dementia (Stone et al. 2018). In addition, it was found to be highly reproducible across 5 years of follow up. A high value also results in artifactually high spindle power and density and higher alpha intrusion. Search for all EEG variables within this dataset

Average Odds Ratio Product (ORP) in all 30-s epochs during total recording time. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset

Used (along with :min_orp_firsthalf_nrem:) to calculate :diff_orp:. Search for all EEG variables within this dataset

Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset

Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset

Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset

Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset

Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset

Average Odds Ratio Product (ORP) in all 30-s epochs during manually scored sleep stages. ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep, a value of 2.5 indicates full wakefulness. Search for all EEG variables within this dataset

Heart rate in repsonse to arousals. Search for all EEG variables within this dataset

Heart rate in repsonse to arousals. Search for all EEG variables within this dataset