A Biologically Inspired Approach to Frequency Domain Feature Extraction for EEG Classification

Classification of electroencephalogram (EEG) signal is important in mental decoding for brain-computer interfaces (BCI). We introduced a feature extraction approach based on frequency domain analysis to improve the classification performance on different mental tasks using single-channel EEG. This b...

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Detalles Bibliográficos
Autores principales: Gursel Ozmen, Nurhan, Gumusel, Levent, Yang, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896285/
https://www.ncbi.nlm.nih.gov/pubmed/29796060
http://dx.doi.org/10.1155/2018/9890132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896285/
https://www.ncbi.nlm.nih.gov/pubmed/29796060
http://dx.doi.org/10.1155/2018/9890132

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