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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_2_25to2_5pct 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
ltdp10 under Sleep Monitoring/Polysomnography/Evening and Morning Survey/SHHS1 in SHHS variables
Quality of sleep last night: light/deep (1=light to 5=deep)
Sleep Heart Health Study
... between Stage 2 and Deep Sleep is unreliable because ...
Sleep Heart Health Study
... 5c, and 5d - Deep Sleep (Stage 3 and ...
Posted by szhivotovsky on October 25, 2023 in Guest Blogger
... - e.g. highly performing deep learning (DL) algorithms - ...
... NSRR Sleep Data via Deep Learning Algorithms Luna: A ...
Reply by mrueschman on December 29, 2015 on Forum
... 30-second windows for scoring deep within one of the ...
Reply by fengzhenhou on March 22, 2017 on Forum
... about the percentage of deep sleep? ...
Reply by mrueschman on March 22, 2017 on Forum
... in stage 3-4 sleep" (deep sleep). ...
Reply by SoumyadeepThakur on April 22, 2021 on Forum
... annotations (W, 1, 2, Deep Sleep, REM) in the ...
Reply by tianlei730 on July 2, 2021 on Forum
... doing is to use deep learning algorithms CNN and ...
Reply by mrueschman on July 5, 2021 on Forum
... once. We understand that deep learning applications will require ...
Reply by shaunpurcell on May 9, 2023 on Forum
These are 'as is' data - we plan to post ...
Reply by lcn on January 26, 2024 on Forum
... are working on a deep learning algorithm for sleep ...
stg2stg3pr under Sleep Monitoring/Polysomnography/Signal Quality in SOF variables
Scorer noted that there was a problem differentiating stage 2 and stage 3/4 sleep.
wakslepr under Sleep Monitoring/Polysomnography/Signal Quality in SOF variables
Scorer noted that there was a problem differentiating stage wake from stage sleep.
warf1 under Medical History/Medications/SHHS1 in SHHS variables
Participant taking ORAL ANTICOAGULANTS INCLUDING WARFARIN, COUMADIN, AND ANISINDIONE within two weeks of the Sleep Heart Health Study Visit One (SHHS1) visit. All medications were recorded during the interview, and medication information was later categorized by physician review.
hprns2 under Medical History/Medications/SHHS2 in SHHS variables
Participant taking HEPARINS within two weeks of the Sleep Heart Health Study Visit Two (SHHS2) visit. All medications were recorded during the interview, and medication information was later categorized by physician review.
warf2 under Medical History/Medications/SHHS2 in SHHS variables
Participant taking ORAL ANTICOAGULANTS INCLUDING WARFARIN, COUMADIN, AND ANISINDIONE within two weeks of the Sleep Heart Health Study Visit Two (SHHS2) visit. All medications were recorded during the interview, and medication information was later categorized by physician review.
ms204a under Sleep Monitoring/Polysomnography/Evening and Morning Survey/SHHS2 in SHHS variables
Rate the actual quality of your sleep last night (Do not compare to usual sleep quality). My sleep last night was (circle a number for each): a. [5 point Likert scale from "Light" to "Dark"]
stg2stg3pr5 under Sleep Monitoring/Polysomnography/Signal Quality in MESA variables