A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces.

Selecting suitable feature types is crucial to obtain good overall brain-computer interface performance. Popular feature types include logarithmic band power (logBP), autoregressive (AR) parameters, time-domain parameters, and wavelet-based methods. In this study, we focused on different variants of...

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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 49; no. 11; pp. 1337 - 1347
Main Authors:	Brunner C, Billinger M, Vidaurre C, Neuper C, Brunner, Clemens, Billinger, Martin, Vidaurre, Carmen, Neuper, Christa
Format:	research Journal Article
Published:	Springer Nature Nov2011
Online Access:	View this record in EBSCOhost