An Adaptive Neuro-Fuzzy Interface System for Classifying Sleep EEG
In the present paper, classification of sleep stages of EEG by using Adaptive Neuro -Fuzzy. Six sleep EEG records foreach of ten patients were selected from Cairo Canter of Sleep Disorder. Three methodologies of analysis were util izedfor feature extraction. These include: autoregressive modelling (...
| Format: | Article |
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| Language: | English |
| Published: |
Port Said University
2013-09-01
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| Series: | Port Said Engineering Research Journal |
| Subjects: | |
| Online Access: | https://pserj.journals.ekb.eg/article_50574_894fd480eaf9b0798f11dc626321368e.pdf |