EEG Signals classification using linear and non-linear discriminant methods

This article was developed with the particular interest of characterize and study EEG signals as a pattern which in general has a high dimensionality, and has obviously a particular behavior in frequency and time. Here we have developed a wavelet decomposition to reduce a little bit the dimensionali...

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Autores:
Mayor Torres, Juan Manuel
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/10822
Acceso en línea:
http://hdl.handle.net/10614/10822
Palabra clave:
linear classifiers
feature extraction
biomedical signals
feature extraction
Biomedical signals
Rights
openAccess
License
Derechos Reservados - Universidad Autónoma de Occidente