Sleep EEG
A deep learning architecture to detect events in EEG signals during sleep
... learning, EEG, event detection, sleep, EEG-patterns, time series ...During sleep, brain activity is characterized by some spe- cific electroencephalographic (EEG) patterns, or events, ...
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Sleep vs Coma
... 3-4) sleep. EEG spindle activity (the hallmark of stage 2 sleep) can also be observed in some comatose or vegetative patients and seems to be a predictor of good ...the EEG characteristics of ...
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Schizophrenia, sleep and antipsychotics
... Delta sleep and negative symptoms of ...4 sleep and SWS in schizophrenic ...reduced sleep time and sleep ...NREM sleep, and reduced delta power in power spectral analysis (PSA) suggest ...
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EEG functional connectivity prior to sleepwalking : evidence of interplay between sleep and wakefulness
... of sleep EEG signals prior to behavioural episodes in individuals with sleepwalking and/or sleep terrors indicate that the onset of the parasomnia is likely to be preceded by an increase in SWA 12 or ...
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Changes in EEG Permutation Entropy in the evening and in the transition from wake to sleep
... between sleep and wakefulness, it may be more difficult to argue that our sample of healthy participants was progressively less conscious before ...after- sleep-onset ...pre-sleep EEG signal ...
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EEG Biometrics During Sleep and Wakefulness: Performance Optimization and Security Implications
... CHAPTER 3 METHODOLOGY AND MATERIALS A full night raw database of wakefulness and sleep EEG recordings was used. Signal pre- processing techniques were applied to remove noise and create five datasets: AWA, ...
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Deep learning for continuous EEG analysis
... on sleep EEG data can however be an interesting way to objectively evaluate them, bearing in mind that sleep annotations are far from perfect and that might hamper proper ...
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A sleep monitoring method with EEG signals
... an EEG and an EOG ...of sleep in a hospital, while using a 100 Hz sampling rate miniature telemeter with a frequency response equal to -3 dB per point, a 14-bit representation per sample, and a total noise ...
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Contribution of sleep to memory consolidation
... Within REMS, it appears that phasic-REMS- associated neural activity is involved in memory consolidation. One of the main characteristics of REMS in animals consists of prominent phasic bioelectrical potentials that ...
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Can we learn from coupling EEG-fMRI to enhance neuro-feedback in EEG only?
... Abreu, R., Leal, A., Figueiredo, P. EEG-Informed fMRI: A Review of Data Analysis Methods. Frontiers in Human Neuroscience, no. 12 (Feb 2018) Gramfort, A., Strohmeier, D., Haueisen, J., Hamalainen, M., Kowalski, ...
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Recording of fast activity at the onset of partial seizures: Depth EEG vs. scalp EEG.
... scalp electrodes. E) Examples of simulated scalp EEG signals and their PSD. 6: Simulation scenario 4 – Impact of the source area. A) Evolution of the mER with respect to the surface area[r] ...
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The default mode network and EEG regional spectral power: a simultaneous fMRI-EEG study.
... all EEG channels as a new ...the EEG signal continuously in such a way that the resulting signal consists only of frequencies that lie within in the defined range ...
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Do malignant cells sleep at night?
... on sleep is possible [ 149 ], for instance by affecting the secretion of the cytokines that modulate the sleep-wake ...induce sleep disruption (see [ 150 ] for a recent ...
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Sleep Mode Analysis via Workload Decomposition
... Abstract The goal of this paper is to establish a general approach for analyzing queueing models with repeated inhomogeneous vacations. The server goes on for a vacation if the inactivity prolongs more than a vacation ...
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Independent EEG sources are dipolar.
... Sphering components, in particular, most often have stereo- typed scalp maps consisting of a focal projection peaking at each respective data channel and thus resembling the projection of a radial equivalent dipole ...
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The influence of sleep on memory
... The electrophysiological data established that the "OldlNew" memory effect (Le.; positive shift that occurs when stimuli are repeated) was elicited after a long de[r] ...
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Artefacts Detection in EEG Signals
... the EEG signal, especially when they have comparable ...similar EEG features into the same components when applied to different ...the EEG artefacts by decomposing it in small segments and comparing ...
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Connectivity-informed M/EEG inverse problem
... Keywords: MEG · source localization · inverse problems · diffusion MRI 1 Introduction Information between brain regions is transferred through white matter fibers with delays that are measurable with ...
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Are NREM sleep characteristics associated to subjective sleep complaints after mild traumatic brain injury?
... on sleep architecture in mTBI civilians (Ouellet, Beaulieu- Bonneau, & Morin, 2006; Rao, Bergey, Hill, Efron, & McCann, ...subjective sleep questionnaire and, inversely, very similar results were ...
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Sleep epidemiology--a rapidly growing field.
... obstructive sleep apnoea, characterized by respiratory difficulties during sleep, is also very high with estimates of 9-21% in women and 24-31% in ...Third, sleep problems are likely to ...adequate ...
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