PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Critical Issues in State-of-the-Art Brain-Computer Interface Signal Processing
DJ Krusienski, Moritz Grosse-Wentrup, F Galan, D Coyle, KJ Miller, E Forney and CW Anderson
Journal of Neural Engineering 2010.

Abstract

This paper reviews several critical issues facing signal processing for brain–computer interfaces (BCIs), and suggests several recent approaches that should be further examined. The topics were selected based on discussions held during the 4th International BCI Meeting at a workshop organized to review and evaluate the current state of, and issues relevant to feature extraction and translation of field potentials for BCIs. The topics presented in this paper include the relationship between electroencephalography and electrocorticography, novel features for performance prediction, time-embedded signal representations, phase information, signal non-stationarity and unsupervised adaptation.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:7839
Deposited By:Moritz Grosse-Wentrup
Deposited On:17 March 2011