… This work provided a comprehensive survey of automatic EEG-based signal processing
techniques applied to sleep stage identification. The ASSC analysis procedure has been …

… and feature extraction methods to analyze EEG signals. In this study, we analyze a
comprehensive review of numerous articles related to EEG signal processing. We searched the …

… Figure 3 presented the schematic illustration of the system and steps involved in this analysis.
Focusing on visual and auditory stimuli, multi-channel EEG signals corresponding to the …

… person and multi-class EEG data. We analyze the similarity of EEG signals and calculates the
… Then, on top of data similarity analysis, we extract EEG signal features by the Autoencoder …

… analyzed adequately. This paper provides a first-of-its-kind comprehensive review of conventional
signal … In this paper, our focus is on EEG signals which allow us to investigate the brain…

… signal in analyzed. In this review paper, we have mainly focused on EEG Signals, how this
signal … methods of machine learning are used to detect the signal type and then moved to the …

… -related EEG signals from the five most popularly used public datasets, namely MAHNOB-HCI,
DEAP (Dataset for Emotion Analysis using Physiological signals), SEED (SJUT emotion …

… DL models for EEG signal processing; however, it only focuses on signal denoising … EEG
signals for medical diagnosis, healthcare, and monitoring; this study presents a comprehensive …

… In this paper, fuzzy comprehensive evaluation model is utilized for EEG signal evaluation. …
, the fuzzy comprehensive evaluation method is more suitable for complicated signal and able …

… In the power spectrum analysis of the 2D and 3D EEG signals, we tried to classify these
signals with the highest percentage of success by using channels and dominant bands …