@article{6fe7a1baa46846be84c837b3fb7d058a,
title = "Classification of epilepsy using high-order spectra features and principle component analysis",
keywords = "Classifiers, EEG, Epilepsy, High-order spectra, Principle component analysis",
author = "Xian Du and Sumeet Dua and Acharya, \{Rajendra U.\} and Chua, \{Chua Kuang\}",
note = "Xian Du Sumeet Dua Rajendra U. Acharya Chua Kuang Chua The classification of epileptic electroencephalogram (EEG) signals is challenging because of high nonlinearity, high dimensionality, and hidden states in EEG recordings. The detection of the preictal state is difficult due to its similarity to the ictal state.",
year = "2012",
month = jun,
doi = "10.1007/s10916-010-9633-6",
language = "English",
volume = "36",
pages = "1731--1743",
journal = "Journal of Medical Systems",
issn = "0148-5598",
number = "3",
}