Analysis and classification of sleep EEG

Automatic Classification of Sleep Stages Using EEG Records.

Computerized EEG Abnormalities Detection

Classification of EEG Signals during Five Mental Tasks using Hidden Markov Models

EEG-based human recognition using Hjorth-parameters and LSTM technique

Literature Review on EEG Preprocessing, Feature Extraction, and Classifications Techniques

Automatic detection of sleep apnea using a hidden Markov model and nonlinear analysis of nocturial oximetry

Human State Recognition Using EEG Signal

Machine Learning Algorithms for Enhancing Emotion Recognition from EEG Signals

A NEURO-FUZZY CLASSIFICATION SYSTEM FOR PATTERN RECOGNlTION OF CONTROL CHARTS