Least squares support vector machine employing model-based methods coefficients for analysis of EEG signals

  title={Least squares support vector machine employing model-based methods coefficients for analysis of EEG signals},
  author={Elif Derya {\"U}beyli},
  journal={Expert Syst. Appl.},
The aim of the study is classification of the electroencephalogram (EEG) signals by combination of the model-based methods and the least squares support vector machines (LS-SVMs). The LS-SVMs were implemented for classification of two types of EEG signals (set A – EEG signals recorded from healthy volunteers with eyes open and set E – EEG signals recorded from epilepsy patients during epileptic seizures). In order to extract the features representing the EEG signals, the spectral analysis of… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 49 extracted citations

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

IEEE Transactions on Neural Systems and Rehabilitation Engineering • 2018
View 3 Excerpts
Highly Influenced

Clustering technique-based least square support vector machine for EEG signal classification

Computer Methods and Programs in Biomedicine • 2011
View 6 Excerpts
Highly Influenced

A stable feature extraction method in classification epileptic EEG signals

Australasian Physical & Engineering Sciences in Medicine • 2018
View 2 Excerpts

A new brain-robot interface system based on SVM-PSO classifier

2017 Artificial Intelligence and Signal Processing Conference (AISP) • 2017
View 2 Excerpts


Publications referenced by this paper.
Showing 1-10 of 25 references

Analysis of EEG records in an epileptic patient using wavelet transform.

Journal of neuroscience methods • 2003
View 7 Excerpts
Highly Influenced

The Nature of Statistical Learning Theory

Statistics for Engineering and Information Science • 2000
View 4 Excerpts
Highly Influenced

Automatic EEG analysis during long-term monitoring in the ICU.

Electroencephalography and clinical neurophysiology • 1998
View 4 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…