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C. (2021). An Attention-Based Deep Learning Approach for Sleep
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the duration of human deep sleep. Sleep Medicine, 81,
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means of EEG and deep learning: a systematic mapping
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Posted by
szhivotovsky
on
May 16, 2023
in
Guest Blogger
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systems. Systems underpinned by deep learning require large datasets
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problem? We trained state-of-the-art deep learning sleep stagers separately
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the training sample of deep learning sleep stagers, particularly
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was a transition to deep sleep, REM, or wake.
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Stage 2. (SsFigure 4a) Deep Sleep (Stage 3 and
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into a single category: Deep Sleep. Deep Sleep is scored when
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Posted by
szhivotovsky
on
September 1, 2023
in
Guest Blogger
...
six independent databases. Our deep learning model, named OxiNet,
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assess the generalization of deep learning algorithms for underrepresented
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of machine learning and deep learning models for obstructive
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a Stage Wake. In Deep Sleep (unequivocal Stage 3/4),
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an arousal is scored. Deep Sleep is scored when
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not used for meeting Deep Sleep criteria (e.g. Deep Sleep is scored only
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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))
avg_org_trt
under
Sleep Monitoring/Polysomnography/Electroencephalogram
in
SHHS variables
Average Odds Ratio Product (ORP) in all 30-s epochs during total recording time. 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_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_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
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
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
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
pct_epoch_0_25to0_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_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
pct_epoch_0_75to1pct
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_0to_0_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_1_25to1_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_1_5to1_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
pct_epoch_1_75to2pct
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