Novel Features for Brain-Computer Interfaces

While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current featur...

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Detalles Bibliográficos
Autores principales: Woon, W. L., Cichocki, A.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267903/
https://www.ncbi.nlm.nih.gov/pubmed/18364991
http://dx.doi.org/10.1155/2007/82827
Descripción
Sumario:While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current feature extraction techniques.

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