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A Lasso quantile periodogram based feature extraction for EEG-based motor imagery.

08:00 EDT 27th September 2019 | BioPortfolio

Summary of "A Lasso quantile periodogram based feature extraction for EEG-based motor imagery."

The extraction of relevant and distinct features from the electroencephalogram (EEG) signals is one of the most challenging task when implementing Brain Computer Interface (BCI) based systems. Frequency analysis techniques are recognised as one of the most suitable methods to have distinct information from EEG signals. However, existing studies use mostly classical approaches assuming that the signal is Gaussian, stationary and linear. These properties are not verified in the EEG case considering the complexity of the brain electrical activity.

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This article was published in the following journal.

Name: Journal of neuroscience methods
ISSN: 1872-678X
Pages: 108434

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