A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals

This publication has 38 references indexed in Scilit:

• A novel robust diagnostic model to detect seizures in electroencephalography
  Expert Systems with Applications, 2016
• EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015
• Classification of seizure based on the time-frequency image of EEG signals using HHT and SVM
  Biomedical Signal Processing and Control, 2014
• Feature extraction and recognition of ictal EEG using EMD and SVM
  Computers in Biology and Medicine, 2013
• Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine
  Journal of Neuroscience Methods, 2012
• Kernel sparse representation based classification
  Neurocomputing, 2012
• Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis
  IEEE Transactions on Information Technology in Biomedicine, 2009
• Robust Face Recognition via Sparse Representation
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
• Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
  Physical Review E, 2001
• Support-vector networks
  Machine Learning, 1995