Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition

Seizure classification in EEG signals utilizing Hilbert-Huang transform

(2011) Rami J Oweis et al.   Biomedical Engineering Online

Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition

(2011) Ram Bilas Pachori et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection

(2011) M. Zavar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks

(2010) Ling Guo et al.   JOURNAL OF NEUROSCIENCE METHODS

Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks

(2010) Ling Guo et al.   JOURNAL OF NEUROSCIENCE METHODS

Combination of EEG Complexity and Spectral Analysis for Epilepsy Diagnosis and Seizure Detection

(2010) Sheng-Fu Liang et al.   EURASIP Journal on Advances in Signal Processing

Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis

(2009) A.T. Tzallas et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Multivariate empirical mode decomposition

(2009) N. Rehman et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm

(2008) Hasan Ocak   SIGNAL PROCESSING

EEG signal analysis using FB expansion and second-order linear TVAR process

(2007) Ram Bilas Pachori et al.   SIGNAL PROCESSING