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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Published in | Expert systems with applications Vol. 27; no. 3; pp. 451 - 458 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.10.2004
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Subjects | |
Online Access | Get full text |
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