PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Ensembles of temporal filters enhance classification performance for ERD-based BCI systems
Siamac Fazli, Cristian Grozea, Marton Donaczy, Benjamin Blankertz, Klaus-Robert Müller and Florin Popescu
Proceedings of the 4th International Brain-Computer Interface Workshop and Training Course 2008 2008.

Abstract

Finding suitable subject-dependent temporal and spatial filters is of paramount importance for achieving high information transfer rates in BCI systems, depending on Event- Related (De-)Synchronization (ERD/ERS). The temporal filter can be chosen manually, or automatically by use of a heuristic. We employ a multi-classifier system (MCS), based on a predefined filter-bank of temporal filters and apply it to 91 datasets, comprising 2-class experiments from 45 subjects. Our results indicate that this approach is a viable alternative to existing methods and can completely automate the temporal filter choice while promising higher performance than either a broad, subject-independent frequency band choice or the current heuristic.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:5096
Deposited By:Benjamin Blankertz
Deposited On:24 March 2009