Automatic detection of epileptic seizure using time-frequency distributions
The aim of this work is to introduce a new method based on time frequency distribution for classifying the EEG signals. Some parameters are extracted using time-frequency distribution as inputs to a feed-forward backpropagation neural networks (FBNN). The proposed method had better results with 98.2...
| Main Authors: | , , , , |
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| Formato: | Conference item |
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2006
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