EEG-based BCI emotion recognition: A survey

EP Torres, EA Torres, M Hernández-Álvarez, SG Yoo - Sensors, 2020 - mdpi.com
Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

Automated sleep scoring: A review of the latest approaches

L Fiorillo, A Puiatti, M Papandrea, PL Ratti… - Sleep medicine …, 2019 - Elsevier
Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a
human expert, according to official standards. It could appear then a suitable task for modern …

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

S Mousavi, F Afghah, UR Acharya - PloS one, 2019 - journals.plos.org
Electroencephalogram (EEG) is a common base signal used to monitor brain activities and
diagnose sleep disorders. Manual sleep stage scoring is a time-consuming task for sleep …

Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals

N Michielli, UR Acharya, F Molinari - Computers in biology and medicine, 2019 - Elsevier
Automated evaluation of a subject's neurocognitive performance (NCP) is a relevant topic in
neurological and clinical studies. NCP represents the mental/cognitive human capacity in …

A convolutional neural network for sleep stage scoring from raw single-channel EEG

A Sors, S Bonnet, S Mirek, L Vercueil… - … Signal Processing and …, 2018 - Elsevier
We present a novel method for automatic sleep scoring based on single-channel EEG. We
introduce the use of a deep convolutional neural network (CNN) on raw EEG samples for …

Cross-subject emotion recognition using flexible analytic wavelet transform from EEG signals

V Gupta, MD Chopda, RB Pachori - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Human emotion is a physical or psychological process which is triggered either consciously
or unconsciously due to perception of any object or situation. The electroencephalogram …

Remediating learning from non-immersive to immersive media: Using EEG to investigate the effects of environmental embeddedness on reading in Virtual Reality

S Baceviciute, T Terkildsen, G Makransky - Computers & Education, 2021 - Elsevier
Virtual Reality (VR) has the potential to enrich education but little is known about how
unique affordances of immersive technology might influence leaning and cognition. This …

Ensemble SVM method for automatic sleep stage classification

E Alickovic, A Subasi - IEEE Transactions on Instrumentation …, 2018 - ieeexplore.ieee.org
Sleep scoring is used as a diagnostic technique in the diagnosis and treatment of sleep
disorders. Automated sleep scoring is crucial, since the large volume of data should be …

Automatic sleep stage scoring with single-channel EEG using convolutional neural networks

O Tsinalis, PM Matthews, Y Guo, S Zafeiriou - arXiv preprint arXiv …, 2016 - arxiv.org
We used convolutional neural networks (CNNs) for automatic sleep stage scoring based on
single-channel electroencephalography (EEG) to learn task-specific filters for classification …

Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation

KAI Aboalayon, M Faezipour, WS Almuhammadi… - Entropy, 2016 - mdpi.com
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …