Injecting Principal Component Analysis with the OA Scheme in the Epileptic EEG Signal Classification

This chapter presents a different design for reliable feature extraction for the classification of epileptic seizures from multiclass EEG signals. In this chapter, we introduce a principal component analysis (PCA) method with the optimum allocation (OA) scheme, named as OA_PCA for extracting reliable characteristics from EEG signals.

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