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avginbedwake5
under
Sleep Monitoring/Actigraphy
in
MESA variables
Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called "total wake time" (TWT).
avginbedwakenw5
under
Sleep Monitoring/Actigraphy
in
MESA variables
Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called "total wake time" (TWT).
avginbedwakewd5
under
Sleep Monitoring/Actigraphy
in
MESA variables
Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called "total wake time" (TWT).
avginbedwakewe5
under
Sleep Monitoring/Actigraphy
in
MESA variables
Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called "total wake time" (TWT).
avginbedwakewo5
under
Sleep Monitoring/Actigraphy
in
MESA variables
Duration of wake in bed is the sum of sleep latency, wake after sleep onset (WASO) and wake after sleep offset in main sleep. Conventionally, this variable would be called "total wake time" (TWT).
sawa66
under
Sleep Monitoring/Actigraphy
in
HCHS variables
Wake bouts is also referred to as "nocturnal awakenings". There are always comparable number of wake bouts to sleep bouts.This variable is similar to variable sawa23; however, sawa23 is generated by Actiware software before data optimization.
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
avgspo2baseline_f1t3
under
Sleep Monitoring/Polysomnography/Administrative
in
NUMOM2B variables
The EDF and XML annotation files from the nuMoM2b sleep substudy were imported in Matlab for analysis of baseline SpO2 (oxygen saturation). First step involved identification of the initial sleep onset (stage=2). Sixty seconds of wake data preceding the initial sleep onset was identified as the baseline segment for calculation of average SpO2. If 60s of wake data was not present, 30s was used as the baseline segment. Average value of SpO2 signal was calculated at this baseline segment. If there was no usable SpO2 signal or baseline wake data before sleep onset, then baseline SpO2 is missing. A few subjects had less than 90% SpO2 at baseline either due to signal distortion/artifacts or baseline desaturation events and were marked as missing.