Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques

Selection of an efficient feature space for EEG-based mental task discrimination

(2014) Somayeh Noshadi et al.   Biocybernetics and Biomedical Engineering

Classification of intelligence quotient via brainwave sub-band power ratio features and artificial neural network

(2014) A.H. Jahidin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Classification of mental tasks using stockwell transform

(2014) M. Hariharan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Theta and delta band activity explain N2 and P3 ERP component activity in a go/no-go task

(2013) Jeremy Harper et al.   CLINICAL NEUROPHYSIOLOGY

An evaluation of the effects of wavelet coefficient quantisation in transform based EEG compression

(2013) Higgins Garry et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Efficient feature selection and linear discrimination of EEG signals

(2013) Germán Rodríguez-Bermúdez et al.   NEUROCOMPUTING

APPLICATION OF NON-LINEAR AND WAVELET BASED FEATURES FOR THE AUTOMATED IDENTIFICATION OF EPILEPTIC EEG SIGNALS

(2012) U. RAJENDRA ACHARYA et al.   International Journal of Neural Systems

Theta power as a marker for cognitive interference

(2011) Roland Nigbur et al.   CLINICAL NEUROPHYSIOLOGY

Classification of electroencephalogram signals with combined time and frequency features

(2011) Zafer Iscan et al.   EXPERT SYSTEMS WITH APPLICATIONS

EEG signals classification using the K-means clustering and a multilayer perceptron neural network model

(2011) Umut Orhan et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparative study of wavelet families for EEG signal classification

(2011) Tapan Gandhi et al.   NEUROCOMPUTING

Pattern analysis of EEG responses to speech and voice: Influence of feature grouping

(2011) Lars Hausfeld et al.   NEUROIMAGE

EEG delta oscillations as a correlate of basic homeostatic and motivational processes

(2011) Gennady G. Knyazev   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

EEG signal classification using PCA, ICA, LDA and support vector machines

(2010) Abdulhamit Subasi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of Mental Task From EEG Signals Using Immune Feature Weighted Support Vector Machines

(2010) Lei Guo et al.   IEEE TRANSACTIONS ON MAGNETICS

What does delta band tell us about cognitive processes: A mental calculation study

(2010) Stavros I. Dimitriadis et al.   NEUROSCIENCE LETTERS

Investigating long-range correlation properties in EEG during complex cognitive tasks

(2009) Siddharth Karkare et al.   CHAOS SOLITONS & FRACTALS

Lyapunov exponents/probabilistic neural networks for analysis of EEG signals

(2009) Elif Derya Übeyli   EXPERT SYSTEMS WITH APPLICATIONS

Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces

(2009) Carmen Vidaurre et al.   NEURAL NETWORKS

Combined neural network model employing wavelet coefficients for EEG signals classification

(2008) Elif Derya Übeyli   DIGITAL SIGNAL PROCESSING

Improving Mental Task Classification by Adding High Frequency Band Information

(2008) Li Zhang et al.   JOURNAL OF MEDICAL SYSTEMS

Classification of mental task from EEG data using neural networks based on particle swarm optimization

(2008) Cheng-Jian Lin et al.   NEUROCOMPUTING

Machine learning classifiers and fMRI: A tutorial overview

(2008) Francisco Pereira et al.   NEUROIMAGE

P3 and delta band responses in visual oddball paradigm in schizophrenia

(2008) Mehmet Ergen et al.   NEUROSCIENCE LETTERS