A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification

Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks

(2019) Wei Zeng et al.   ARTIFICIAL INTELLIGENCE REVIEW

A novel local senary pattern based epilepsy diagnosis system using EEG signals

(2019) Turker Tuncer et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems

(2019) Yuzhu Guo et al.   NEUROCOMPUTING

Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals

(2018) Ramy Hussein et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals

(2018) Anubha Gupta et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Epileptic EEG Identification via LBP Operators on Wavelet Coefficients

(2018) Qi Yuan et al.   International Journal of Neural Systems

A novel quick seizure detection and localization through brain data mining on ECoG dataset

(2018) Mohammad Khubeb Siddiqui et al.   NEURAL COMPUTING & APPLICATIONS

Epileptic Seizure Classification of EEGs Using Time–Frequency Analysis Based Multiscale Radial Basis Functions

(2018) Yang Li et al.   IEEE Journal of Biomedical and Health Informatics

Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach

(2018) Yang Li et al.   KNOWLEDGE-BASED SYSTEMS

Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis

(2017) Lina Wang et al.   Entropy

Identification of time-varying neural dynamics from spike train data using multiwavelet basis functions

(2017) Song Xu et al.   JOURNAL OF NEUROSCIENCE METHODS

A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension

(2017) Manish Sharma et al.   PATTERN RECOGNITION LETTERS

Automatic identification of epileptic seizures from EEG signals using linear programming boosting

(2016) Ahnaf Rashik Hassan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating

(2016) Ahnaf Rashik Hassan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A hybrid automated detection of epileptic seizures in EEG records

(2016) Noha S. Tawfik et al.   COMPUTERS & ELECTRICAL ENGINEERING

Division by zero, pseudo-division by zero, Zhang dynamics method and Zhang-gradient method about control singularity conquering

(2016) Yunong Zhang et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems

(2016) Yuzhu Guo et al.   NEUROCOMPUTING

A multiwavelet-based time-varying model identification approach for time–frequency analysis of EEG signals

(2016) Yang Li et al.   NEUROCOMPUTING

Hilbert marginal spectrum analysis for automatic seizure detection in EEG signals

(2015) Kai Fu et al.   Biomedical Signal Processing and Control

Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

(2015) Rajeev Sharma et al.   EXPERT SYSTEMS WITH APPLICATIONS

Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis

(2015) Oliver Faust et al.   SEIZURE-EUROPEAN JOURNAL OF EPILEPSY

Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data

(2015) Khalid Abualsaud et al.   TheScientificWorldJOURNAL

Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data

(2015) Khalid Abualsaud et al.   Scientific World Journal

Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm

(2014) Guohun Zhu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An iterative orthogonal forward regression algorithm

(2014) Yuzhu Guo et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Classification of ictal and seizure-free EEG signals using fractional linear prediction

(2013) Varun Joshi et al.   Biomedical Signal Processing and Control

Feature extraction and recognition of ictal EEG using EMD and SVM

(2013) Shufang Li et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection

(2011) Deng Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition

(2011) V. Bajaj et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Model term selection for spatio-temporal system identification using mutual information

(2011) Shu Wang et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

A comparative study of wavelet families for EEG signal classification

(2011) Tapan Gandhi et al.   NEUROCOMPUTING

Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines

(2010) Luigi Chisci et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Local Polynomial Modeling of Time-Varying Autoregressive Models With Application to Time–Frequency Analysis of Event-Related EEG

(2010) Z G Zhang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions

(2010) Yang Li et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

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

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

Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis

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