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A general framework to estimate spatial and spatio-spectral filters for EEG signal classification

Date

Authors

Fattahi, Davood

Nasihatkon, Behrooz

Boostani, Reza

Publisher

Elsevier

Abstract

In this paper, a general framework is proposed for simultaneous design of spatial and spectral filters, which are used to extract discriminant features from EEG signals in Brain Computer Interfacing (BCI) systems. This paper introduces Common Spatial Patt

Keywords

Keywords: Brain-computer interfacing; Classification accuracy; Common spatial patterns; EEG classification; EEG signal classification; Filter estimation; Filter optimization; Simultaneous designs; Algorithms; Classification (of information); Constraint satisfaction Brain computer interface; Common spatial patterns; EEG classification; Movement-related brain sources; Spatio-spectral filters

URI

http://hdl.handle.net/1885/74685

Collections

ANU Research Publications

Source

Neurocomputing

Type

Journal article

DOI

10.1016/j.neucom.2013.03.044

Restricted until

2037-12-31

Downloads

File

Description

01_Fattahi_A_general_framework_to_2013.pdf (876.97 KB)

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