Sleep, Neuroscience, EEG and Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 10 October 2024 | Viewed by 163
Special Issue Editor
Special Issue Information
Dear Colleagues,
Among devices related to polysomnography, electroencephalograms (EEGs) possess unique abilities to exquisitely reveal the macro- and micro-structural patterns of sleep.
Several algorithms have recently emerged that leverage a single EEG signal to perform automatic sleep staging with an accuracy close to that of the agreement between two expert sleep technicians performing sleep staging on a full set of PSG signals.
At the micro-structural level, essential markers of the transition from wakefulness to sleep, such as theta waves and slow eye movements, manifest in EEGs. The hallmarks of NREM sleep, namely, slow waves and spindles, are defined using EEG reads. Periods of phasic and tonic REM sleep can be identified on the same basis.
Fundamental and applied sleep research are supported via the analysis of EEG signals. Several lines of research have focused on developing more convenient EEG monitoring devices that are comfortable enough to be used during sleep. Closed-loop systems to enhance sleep quality, depending on real-time interpretation of sleep EEG reads, have been proposed and implemented, demonstrating successful outcomes during the subsequent period of wakefulness.
This Issue of Sensors aims to present the latest progress in sleep EEG research. Some of the topics considered in this Special Issue are listed below:
- Unobtrusive EEG sensing for sleep;
- EEG electrode technology and comfort;
- Algorithms for sleep EEG interpretation.
Closed-loop sleep EEG-based systems for sleep enhancement and daytime outcome improvement;
- Falling asleep facilitation;
- Sleep quality enhancement.
Dr. Gary Garcia-Molina
Guest Editor
Manuscript Submission Information
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Keywords
- sleep EEG
- unobtrusive sensing
- closed-loop
- falling and staying asleep
- slow wave enhancement
- AI applied to sleep EEG
