… from sleep EEG segments of 2:44 min duration, each segment … vector distance X of two
nearby points and evolves its length … discharges in the EEG using an artificial neural network: a …

… information in electroencephalography (EEG) recordings for … , the LSTM network and feed
forward neural network used in … were replaced by their neighboring values. Moreover, in terms …

… up to 20 EEG channels demonstrate that our network architecture … with the features from the
neighboring time segments [4], [5], [… a deep neural network to perform temporal sleep stage …

… a comprehensive review of advancements in wireless EEG … electromagnetic interference
with surrounding electronics. … In the following sections, we discuss the integration of EEG-…

… channels by interpolating their surrounding channels. … Delta waves (0.5–4Hz) are produced
in deep sleep and waking … Then we converted all segments to their corresponding RGB …

… deep neural networks a powerful tool for detecting REM … deep-learning sleep stagers
use only EEG as input, achieving … surrounding a sleep epoch. Phan & Mikkelsen, 2022. …

… [35] performed object segmentation and identification via a … neural networks for digital
underwater image detection and … layers that are adjacent in a complex neural network and these …

… The neural network was trained and evaluated on the—to … We designed U-Sleep to require
only a single EEG and a single EOG … when scoring neighbouring segments after deployment. …

… C, Uhl T, Schnaffer C and Roschke J 1997 Online detection of REM sleep based on the
comprehensive evaluation of short adjacent EEG segments by artificial neural networks Prog. …

… We used intracranial EEG (iEEG) from two independent … dataset, we aimed to select segments
from different parts of the … ’ of the event between two adjacent bins as well as to provide …