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What is EEG Signal Analysis for Epilepsy Diagnosis about?

This document describes a study analyzing EEG signals to diagnose epileptic seizures using MATLAB. [1] 16 features were extracted from the EEG data, including approximate entropy, sample entropy, recurrence quantification analysis values, and sub-band energies. [2] These features were used to train various classification algorithms, including least squares support vector machines and artificial neural networks, with support vector machines achieving 99.5% accuracy. [3] Additional analysis tools like scatter

Author

Ashwani Singh

Language

EN