… convolutional neural networks to automatically detect seizures… We then split the time course
of EEG signals into segments (… as the difference between adjacent electrodes of the same …

… EEG signals, and demonstrates that deep neural networks in … split the raw EEG data into
segments for feature extraction, … selected according to the adjacent degree of the electrodes […

… detection, we apply the LSTM neural network with … detected and its adjacent intervals, and
merge them into a 3 × 8 feature matrix. The frequency domain features of 0.75 s EEG segment …

… distribution of 8 s EEG segments reaching accuracies >80%. … detecting MSEs based on raw
EEG/EOG data with deep learning, ie features are “learned” by the artificial neuronal network …

… , thus A1-phases are associated with deep sleep and sleep … Unlike previous works, where
EEG segments of 1 s are used … from the surrounding background activity. A simple heuristic …

… segments in such a way that every segment contained full … can have interference with adjacent
medical devices including a … unique identification system using neural network classifier …

… of EEG signals among multiple physically adjacent electrodes… segments containing equal
time points, and each segment is … detect the real emotional state of the subjects from their EEG …

… tenfold cross-validation evaluation method but select the first … Thus, there is no time-adjacent
sample simultaneously in the … the recurrence network are channel data from 1 s segments (…

… location with the summary statistics of the nearby outputs using functions such as maximum
… In this work, we also employ a total of 240 EEG segments, 120 from alcoholic and 120 from …

… Online Detection of REM sleep based on the comprehensive evaluation of short adjacent
EEG segments by artificial neural networks, Prog. Neuro-Psychopharmacol. & Biol. …