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  • Title: Epileptic seizure detection: a nonlinear viewpoint.
    Author: Päivinen N, Lammi S, Pitkänen A, Nissinen J, Penttonen M, Grönfors T.
    Journal: Comput Methods Programs Biomed; 2005 Aug; 79(2):151-9. PubMed ID: 16005102.
    Abstract:
    This study concerns the detection of epileptic seizures from electroencephalogram (EEG) data using computational methods. Using short sliding time windows, a set of features is computed from the data. The feature set includes time domain, frequency domain and nonlinear features. Discriminant analysis is used to determine the best seizure-detecting features among them. The findings suggest that the best results can be achieved by using a combination of features from the linear and nonlinear realms alike.
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