Identification and monitoring of brain activity based on stochastic relevance analysis of short–time EEG rhythms

[1]  Dimitrios I. Fotiadis,et al.  Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis , 2009, IEEE Transactions on Information Technology in Biomedicine.

[2]  G Lantz,et al.  Frequency domain EEG source localization of ictal epileptiform activity in patients with partial complex epilepsy of temporal lobe origin , 1999, Clinical Neurophysiology.

[3]  Chih-Jen Lin,et al.  Training and Testing Low-degree Polynomial Data Mappings via Linear SVM , 2010, J. Mach. Learn. Res..

[4]  Germán Castellanos-Domínguez,et al.  Discrimination of Epileptic Events Using EEG Rhythm Decomposition , 2011, IWINAC.

[5]  Kemal Polat,et al.  Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform , 2007, Appl. Math. Comput..

[6]  Ram Bilas Pachori,et al.  Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition , 2011, Comput. Methods Programs Biomed..

[7]  Zhangang Han,et al.  Feature extraction of EEG signals from epilepsy patients based on Gabor Transform and EMD Decomposition , 2010, 2010 Sixth International Conference on Natural Computation.

[8]  Clodoaldo Ap. M. Lima,et al.  Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study , 2011, Artif. Intell. Medicine.

[9]  W. Abdul,et al.  Cortical activities pattern recognition for the limbs motor action , 2008 .

[10]  Tamer Demiralp,et al.  Classification of electroencephalogram signals with combined time and frequency features , 2011, Expert Syst. Appl..

[11]  Mahmut Ozer,et al.  EEG signals classification using the K-means clustering and a multilayer perceptron neural network model , 2011, Expert Syst. Appl..

[12]  Bijaya K. Panigrahi,et al.  Discrete harmony search based expert model for epileptic seizure detection in electroencephalography , 2012, Expert Syst. Appl..

[13]  Ram Bilas Pachori,et al.  Separation of Rhythms of EEG Signals Based on Hilbert-Huang Transformation with Application to Seizure Detection , 2012, ICHIT.

[14]  Shih-Wei Lin,et al.  Particle swarm optimization for parameter determination and feature selection of support vector machines , 2008, Expert Syst. Appl..

[15]  Serkan Kiranyaz,et al.  Automated patient-specific classification of long-term Electroencephalography , 2014, J. Biomed. Informatics.

[16]  Dragan Djurdjanovic,et al.  Time-frequency distributions in the classification of epilepsy from EEG signals , 2012, Expert Syst. Appl..

[17]  Rami J Oweis,et al.  Seizure classification in EEG signals utilizing Hilbert-Huang transform , 2011, Biomedical engineering online.

[18]  Germán Castellanos-Domínguez,et al.  Dynamic Feature Extraction: an Application to Voice Pathology Detection , 2009, Intell. Autom. Soft Comput..

[19]  Germán Castellanos-Domínguez,et al.  Time–frequency based feature selection for discrimination of non-stationary biosignals , 2012, EURASIP J. Adv. Signal Process..

[20]  M. Kemal Kiymik,et al.  Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application , 2005, Comput. Biol. Medicine.

[21]  R. E. Madsen,et al.  Channel selection for automatic seizure detection , 2012, Clinical Neurophysiology.

[22]  Christoph Flamm,et al.  Influence analysis for high-dimensional time series with an application to epileptic seizure onset zone detection , 2013, Journal of Neuroscience Methods.

[23]  Y. Tang,et al.  A tunable support vector machine assembly classifier for epileptic seizure detection , 2012, Expert Syst. Appl..

[24]  Abdulhamit Subasi,et al.  EEG signal classification using wavelet feature extraction and a mixture of expert model , 2007, Expert Syst. Appl..

[25]  Bijaya K. Panigrahi,et al.  A comparative study of wavelet families for EEG signal classification , 2011, Neurocomputing.

[26]  Germán Castellanos-Domínguez,et al.  Relevance Analysis of Stochastic Biosignals for Identification of Pathologies , 2011, EURASIP J. Adv. Signal Process..

[27]  Colum D. MacKinnon,et al.  Time–frequency analysis of movement-related spectral power in EEG during repetitive movements: A comparison of methods , 2010, Journal of Neuroscience Methods.

[28]  Suzanne Kieffer,et al.  Feature extraction and selection for objective gait analysis and fall risk assessment by accelerometry , 2011, Biomedical engineering online.

[29]  Jan Rémi,et al.  The role of EEG in epilepsy: A critical review , 2009, Epilepsy & Behavior.

[30]  S. Setarehdan,et al.  Manifold Learning Applied on EEG Signal of the Epileptic Patients for Detection of Normal and Pre-Seizure States , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[31]  Junzhong Zou,et al.  Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn , 2010, Cognitive Neurodynamics.

[32]  U. Rajendra Acharya,et al.  Automated EEG analysis of epilepsy: A review , 2013, Knowl. Based Syst..

[33]  Hongkui Jing,et al.  Comparison of human ictal, interictal and normal non-linear component analyses , 2000, Clinical Neurophysiology.

[34]  Hojjat Adeli,et al.  Principal Component Analysis-Enhanced Cosine Radial Basis Function Neural Network for Robust Epilepsy and Seizure Detection , 2008, IEEE Transactions on Biomedical Engineering.

[35]  Elif Derya Übeyli.  Decision support systems for time-varying biomedical signals: EEG signals classification , 2009, Expert Syst. Appl..

[36]  Natarajan Sriraam,et al.  Entropies based detection of epileptic seizures with artificial neural network classifiers , 2010, Expert Syst. Appl..

[37]  Elif Derya íbeyli.  Decision support systems for time-varying biomedical signals: EEG signals classification , 2009 .

[38]  J. T. Enright,et al.  Are the electroencephalograms mainly rhythmic? Assessment of periodicity in wide-band time series , 2003, Neuroscience.

[39]  Reza Tafreshi,et al.  Automated Real-Time Epileptic Seizure Detection in Scalp EEG Recordings Using an Algorithm Based on Wavelet Packet Transform , 2010, IEEE Transactions on Biomedical Engineering.

[40]  V. Srinivasan,et al.  Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features , 2005, Journal of Medical Systems.

[41]  Peter Dayan,et al.  A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis , 2008, Medical & Biological Engineering & Computing.

[42]  Ahmad Reza Naghsh-Nilchi,et al.  Epilepsy seizure detection using eigen-system spectral estimation and Multiple Layer Perceptron neural network , 2010, Biomed. Signal Process. Control..

[43]  Lanlan Chen,et al.  Dynamic feature extraction of epileptic EEG using recurrence quantification analysis , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[44]  Ángel Navia-Vázquez,et al.  Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data , 2012, IET Signal Process..

[45]  U. Rajendra Acharya,et al.  Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework , 2012, Expert Syst. Appl..

[46]  K Lehnertz,et al.  Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[47]  H. Adeli,et al.  Analysis of EEG records in an epileptic patient using wavelet transform , 2003, Journal of Neuroscience Methods.