EEG Signal Classification with MATLAB Implementation

This MATLAB program implements comprehensive EEG signal processing for classification tasks, featuring feature extraction algorithms and machine learning techniques

SVM EEG Signal Classification: Implementation and Algorithm Overview

SVM-based classification of EEG signals using supervised learning with hyperplane optimization for neural pattern recognition and brain-computer interface applications.

EEG Signal Classification Using Support Vector Machines (SVM)

Implementation of EEG signal classification through Support Vector Machine algorithm with preprocessing, feature extraction, and model training