טוען...
Feature Selection for Motor Imagery EEG Classification Based on Firefly Algorithm and Learning Automata
Motor Imagery (MI) electroencephalography (EEG) is widely studied for its non-invasiveness, easy availability, portability, and high temporal resolution. As for MI EEG signal processing, the high dimensions of features represent a research challenge. It is necessary to eliminate redundant features,...
שמור ב:
| הוצא לאור ב: | Sensors (Basel) |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5713053/ https://ncbi.nlm.nih.gov/pubmed/29117100 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17112576 |
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