… of the EEG data can be used online to recognize REM sleep and are most likely able to …
REM sleep with artificial neural networks based on preprocessed periods of 2.5 seconds of EEG …

… stage transition prior information of adjacent EEG epochs. To the … second EEG segment
(called epoch), we could obtain a sleep … may not enter light sleep from deep sleep directly. If the …

… by using of single-channel electroencephalography (EEG) for sleep stage classification. …
We allow segments to overlap to reduce artifacts at the boundaries of adjacent windows. …

… We organized the remainder of this article into four sections. … any 60 Hz AC noise from the
nearby electrical grid. The eye-… a multilayer perceptron (MLP) neural network. This model is …

… We adopted and studied combinations of the C4-A1 EEG, an … to predict the labels of its
neighboring epochs. Therefore, this … N1 and REM sleep makes SeqSleepNet potentially useful for …

… We first input EEG and EOG signals into the automatic sleep … the input EEG signals, the
samples of 10 adjacent periods … for accurate object detection and semantic segmentation,” in …

… (W), NREM sleep stages 1–4, and REM sleep. Recently … of sleep signal from the different
EEG internet database source. … By proper segmentation of the signal, total numbers of K-…

… based on conventional neural networks to classify EEG … In this paper, each EEG segment is
partitioned into smaller blocks using … The adjacent matrix of an undirected weighted graph is …

… as the Electroencephalogram, can tell how well we sleep. Improved … Artificial Neural Network:
It is a frequently used in different … to the data but also to the neighbouring neurons as well. …

… deep neural network to classify sleep stages based on scalp … always contiguous in time,
since artifactual segments were … Automated sleep scoring paired with seizure or spike detection …