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spindle_char_n2_pctfast_c4 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182)Search for all EEG variables within this dataset
spindle_char_n2_power_c3 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182)Search for all EEG variables within this dataset
spindle_char_n2_power_c4 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Spindle characteristics in stage N2. For detection methods and validation see Method A10: Goldschmied et al. 2021 (PubMed ID: 33165618), and Guadagni et al. 2021 (PubMed ID:32281182)Search for all EEG variables within this dataset
powers_c4a1_alpha under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c4a1_beta1 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c4a1_beta2 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c4a1_sigma under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c3a2_delta under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c4a1_gammaomega under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. 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_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
powers_c3a2_gammaomega under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c3a2_alpha under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c3a2_beta1 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c3a2_beta2 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
powers_c3a2_sigma under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset
orp_type under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Nine Odds Ratio Product (ORP) types with different potential mechanisms and associations with demographics, clinical phenotypes and outcomes. Source: :sum_deciles_1and2: Younes et al. 2022 (PubMed ID: 35272350) 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
orpto9 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Rate of sleep recovery following arousals. A high value reflects slow recovery and suggests high central arousability (Hyperarousal state).Younes et al. 2021 (PubMed ID: 34156473)Younes and Hanley 2016 (PubMed ID: 26718786)Younes and Giannouli 2020 (PubMed ID: 31992415) 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
pct_epoch_1to1_25pct under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) 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. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset
pct_epoch_2to2_25pct under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) 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. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset
pct_epoch_0_5to0_75pct under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) 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. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset