Análisis de reducción de ruido en señales EEG orientado al reconocimiento de patrones
Keywords:
Wavelet, EEG, denoising.
Abstract
A study on background noise reduction (denoising) on EEG signals using wavelet transform is presented, assuming that extracted features are susceptible to common noise within classes; besides, the feature space separability is compared using a linear Bayesian classifier. An increment of 1% in the average recognition rate is reached performing noise reduction in the identification of two functional states.
How to Cite
[1]
C. Guarnizo-Lemus, “Análisis de reducción de ruido en señales EEG orientado al reconocimiento de patrones”, TecnoL., no. 21, pp. 67–80, Dec. 2008.
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Published
2008-12-07
Issue
Section
Articles