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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
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_c4a1_theta1 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
spindle_char_n2_density_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_density_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_freq_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_freq_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_pctfast_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_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
sum_deciles_1and2 under Sleep Monitoring/Polysomnography/Electroencephalogram in SHHS variables
Used to determine Odds Ratio Product type, see :orp_type: Search for all EEG variables within this dataset
restan4 under Sleep Monitoring/Polysomnography/Signal Quality/SHHS1 in SHHS variables
"1: Yes", this indicates more than 30 minutes of the sleep period had either lost or unscorable EEG data
abnoreeg under Sleep Monitoring/Polysomnography/Signal Quality in SHHS variables
Scorer observed abnormal EEG during study.
abnoreeg under Sleep Monitoring/Polysomnography/Signal Quality in CHAT variables
1=Unusual Occurrences - Abnormal EEG
stg2stg3pr under Sleep Monitoring/Polysomnography/Signal Quality in CHAT variables
1=sleep staging problem - scoring stage2/stage3-4 unreliable (when distinction between Stage 2 and Deep Sleep is unreliable because of EEG artifact (usually due to the respiratory or sweat artifact on the EEG, and High Pass filter =1Hz used))
MrOS Sleep Study
... 15, 2019 - Remove EEG spectral analysis summary datasets ... - Information added on EEG spectral and heart rate ...
Sleep Heart Health Study
... 15, 2019 - Remove EEG spectral analysis summary datasets ... - Add documentation of EEG Spectral Analysis results that ...
Sleep Heart Health Study
... be browsed here. ## EEG Biomarkers Dataset of 5782 observations of 64 EEG biomarker variables supplied by ...
Cleveland Family Study
... 15, 2019 - Remove EEG spectral analysis summary datasets ... - Add description of EEG spectral analysis datasets/process ### ...
Study of Osteoporotic Fractures
... 15, 2019 - Remove EEG spectral analysis summary datasets ... 2015 - Add initial EEG spectral documentation ### January ...
Apnea Positive Pressure Long-term Efficacy Study
... consisted of the electroencephalogram (EEG, C3-M2, C4-M1, O2-M1 and ... recorded using SAM Technology's EEG recording equipment, consisting of ...
Forced Desynchrony with and without Chronic Sleep Restriction
... (PSG) signal data; electroencephalogram (EEG), electrooculography (EOG), electromyography (EMG), ... EDF signal data (including EEG) are available for 28 ...
Sleep Disordered Breathing, ApoE and Lipid Metabolism
... EDF signal data (including EEG) are available for 712 ...
Posted by szhivotovsky on July 17, 2023 in Guest Blogger
... dataset). We selected 1 EEG channel, i.e., C4-A1 with ... learn temporal information in EEG data. Notably, fine-tuning the ...