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powerline artifacts in SHHS dataset

Reply by shaunpurcell on June 26, 2023 on Forum

... but 50 Hz line noise doesn't appear to be ... show excess 50 Hz noise -- but (as expected) ... the expected 60 Hz noise, not 50 Hz. Let ...

Sleep Habits (Sleep Heart Health Study Visit One (SHHS1)): Frequency of being awakened by noise

noise02 under Sleep Questionnaires/Sleep Disturbance in SHHS variables

In the past year, how often, on average, have you been awakened with noise in your surroundings?

Awakened in the last month by noise in your surroundings

noisesurr under Sleep Questionnaires/Sleep Disturbance in HEARTBEAT variables

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

Powers C3/A2 (mV^2) - Alpha (7.33-12.0)

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 C3/A2 (mV^2) - Beta1 (14.3-20.0)

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 C3/A2 (mV^2) - Beta2 (20.3-35)

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 C3/A2 (mV^2) - Delta (0.33-2.33 Hz)

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 C3/A2 (mV^2) - Gamma Omega (35.3-60.0)

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 C3/A2 (mV^2) - Sigma (12.33-14.0)

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

Powers C3/A2 (mV^2) - Theta1 (2.67-6.33)

powers_c3a2_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

Powers C4/A1 (æV^2) - Alpha (7.33-12.0)

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 C4/A1 (æV^2) - Beta1 (14.3-20.0)

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 C4/A1 (æV^2) - Beta2 (20.3-35.0)

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 C4/A1 (æV^2) - Delta (0.33-2.33 Hz)

powers_c4a1_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 C4/A1 (æV^2) - Gamma Omega (35.3-60.0)

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 C4/A1 (æV^2) - Sigma (12.33-14.0)

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 C4/A1 (æV^2) - Theta1 (2.67-6.33)

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

SHQ Q16e: How Often Awakened by Noise in Surroundings (0=Never, 1=Rarely [1/month or less], 2=Sometimes [2-4/month], 3=Often [5-15/month], 4=Almost Always [16-30/month])

noisesurroundings16e under Sleep Questionnaires/Sleep Disturbance in APPLES variables

Child acts overwhelmed or overstimulated in crowded, busy situations (such as lots of noise, activity, or people)

behavior50_mom under Lifestyle and Behavioral Health/Infant and Child Behavioral Health in SHINE variables

Maternal ReportedSpanish: Se altera frente a situaciones nuevas

polysomnography-introduction.md

Wisconsin Sleep Cohort

Polysomnography introduction ## Description and overview The Sleep Research Laboratory ...

Urban Poor in India

... developing countries are tired: noise, heat, pain, and physical ...

Apnea Positive Pressure Long-term Efficacy Study

... port and the operating noise of the active CPAP ...

Arousal Burden is Linked with Long-Term Cardiovascular and All-Cause Mortality

Posted by michaelprerau on June 16, 2021 in Guest Blogger

... temperature, light and traffic noise. Irrespective of the cause, ...

Navigating the spectral slopes of the NSRR cohorts

Posted by shaunpurcell on November 8, 2021 in Data Notes

... (whether due to bias, noise or true signal) will ...