Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
eeg and hrv signal features for automatic sleep staging and apnea detection .
A Deep Learning Method for Classification of EEG Data Based on Motor Imagery
Imaging human EEG dynamics using independent component analysis
Prediction of driver's drowsy and alert states from EEG signals with deep learning
Artifact detection in EEG using machine learning
Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces
Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition
Local pattern transformation based feature extraction techniques for classification of epileptic EEG signals
Analysis of the EEG Signal for a Practical Biometric System
Novel approach for stress recognition using EEG signal by SVM classifier
AR spectral analysis of EEG signals by using maximum likelihood estimation
Analysis of Brain Wave Due to Stimulus Using EEG
A review of classification algorithms for EEG-based brain-computer interfaces
Analysis and simulation of brain signal data by EEG signal processing technique using MATLAB
EEG-Based Estimation and Classification of Mental Fatigue
Classifying eye and head movement artifacts in EEG signals
Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG
EEG analysis based on time domain properties
Tensor decomposition of EEG signals: A brief review
Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
Genome-wide association study identifies novel breast cancer susceptibility loci
Bilateral ultrasound-guided erector spinae plane blocks in breast cancer and reconstruction surgery
A body image scale for evaluating transsexuals.
Finding interesting rules from large sets of discovered association rules
Scale-Invariant Convolutional Neural Networks