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Reply by DennisDean on April 18, 2015 on Forum
... We have begun identifying EEG studies that are not ... to be used for EEG analyses as part of NSRR EEG spectral analysis activities. A ...
Reply by sheriema on June 5, 2017 on Forum
... Our lab developed an EEG analysis program named Somnivore ... on human and rodent EEG data and proven to ... proving useful in data-mining EEG data. We recently presented ...
Reply by Brunno on May 14, 2021 on Forum
Hi, I have EEG data from resting-state EEG-fMRI ... to export my post-processed EEG data in a format ...
Reply by lkamoun on September 26, 2021 on Forum
... Luna to take out EEG artifacts from the shhs1 ... to output a cleaned eeg dataset and I was ... and L) artifacts from EEG? I have been looking ...
abnoreeg under Sleep Monitoring/Polysomnography/Signal Quality in CFS variables
Scorer observed abnormal EEG during study.
abnoreeg under Sleep Monitoring/Polysomnography/Signal Quality in SOF variables
Scorer observed abnormal EEG during study.
alpha_intrusion_pct_3sepochs under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
avg_org_trt under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
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
avg_orp_last120m_nrem under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Used (along with :min_orp_firsthalf_nrem:) to calculate :diff_orp:. Search for all EEG variables within this dataset
avg_orp_n1 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
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
avg_orp_n2 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
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
avg_orp_n3 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
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
avg_orp_nonrem under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
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
avg_orp_rem under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
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
avg_orp_wake under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
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
baseline_hr under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Heart rate in repsonse to arousals. Search for all EEG variables within this dataset
change_in_hr_perh_trt under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Heart rate in repsonse to arousals. Search for all EEG variables within this dataset
clinical_category under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
delta_hr under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Heart rate in repsonse to arousals. Search for all EEG variables within this dataset
dhr_intensity under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Heart rate in repsonse to arousals. Search for all EEG variables within this dataset
diff_orp under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Change in Odds Ratio Product (ORP) across the night, a greater increase in ORP from the beginning of to end of the night suggests more restorative sleep. Younes et al. 2020 (PubMed ID: 32729619). Source: :avg_orp_last120m_nrem: and :min_orp_firsthalf_nrem:. Search for all EEG variables within this dataset
icc_ms_cols under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Component of intraclass correlation, see :icc_rl_orp: for more information. Search for all EEG variables within this dataset
icc_ms_error under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Component of intraclass correlation, see :icc_rl_orp: for more information. Search for all EEG variables within this dataset
icc_ms_rows under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Component of intraclass correlation, see :icc_rl_orp: for more information. Search for all EEG variables within this dataset
icc_rl_orp under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Intraclass correlation between right and left Odds Ratio Product (ORP) across all epochs in Total Recording Time (TRT). A high correlation indicates good agreement in sleep depth between right and left hemispheres. The reasons for a low correlation could be: a) reduced range of ORP across TRT (e.g., little stage wake or deep sleep) b) systematic difference between the two electrodes (e.g. noise in one electrode or unilateral brain pathology) c) true dissociation between right and left sleep (Dolphin sleep). :icc_ms_rows:, :icc_ms_col: and :icc_ms_error: distinguish between these three possibilities, respectively. Younes et al. 2021 (PubMed ID: 34156473) Dres et al. 2019 (PubMed ID: 30818966)Azarbarzin et al. 2021 (PubMed ID: 32441843) Search for all EEG variables within this dataset