Abstract
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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Siuly, S., Li, Y., Zhang, Y. (2016). Injecting Principal Component Analysis with the OA Scheme in the Epileptic EEG Signal Classification. In: EEG Signal Analysis and Classification. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-47653-7_7
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DOI: https://doi.org/10.1007/978-3-319-47653-7_7
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