Automatic recognition of sleep spindles in EEG by using artificial neural networks

In this paper, we introduce a two-stage procedure based on artificial neural networks for the automatic recognition of sleep spindles (SSs) in a multi-channel electroencephalographic signal. In the first stage, a discrete perceptron is used to eliminate definite non-SSs. The pre-classification done...

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Bibliographic Details
Published inExpert systems with applications Vol. 27; no. 3; pp. 451 - 458
Main Authors Acir, Nurettin, Guzeli, Cuneyt
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.10.2004
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