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Classification of EEG Signals Based on Pattern Recognition Approach
Feature extraction is an important step in the process of electroencephalogram (EEG) signal classification. The authors propose a “pattern recognition” approach that discriminates EEG signals recorded during different cognitive conditions. Wavelet based feature extraction such as, multi-resolution d...
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| Pubblicato in: | Front Comput Neurosci |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5702353/ https://ncbi.nlm.nih.gov/pubmed/29209190 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2017.00103 |
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