Can I read Application of a Hybrid Wavelet Feature Selection Method in the Design of a Self-paced Brain Interface System on EtoBox?

Application of a Hybrid Wavelet Feature Selection Method in the Design of a Self-paced Brain Interface System by Mehrdad Fatourechi; Gary E Birch; Rabab K Ward is a Medicine article available to read on EtoBox.

What is Application of a Hybrid Wavelet Feature Selection Method in the Design of a Self-paced Brain Interface System about?

## Background Recently, successful applications of the discrete wavelet transform have been reported in brain interface (BI) systems with one or two EEG channels. For a multi-channel BI system, however, the high dimensionality of the generated wavelet features space poses a challenging problem. ## Methods In this paper, a feature selection method that effectively reduces the dimensionality of the feature space of a multi-channel, self-paced BI system is proposed. The proposed method uses a two-stage feature selection scheme to select the most suitable movement-related potential features from the feature space. The first stage employs mutual information to filter out the least discriminant features, resulting in a reduced feature space. Then a genetic algorithm is applied to the reduced feature space to further reduce its dimensionality and select the best set of features. ## Results An offline analysis of the EEG signals (18 bipolar EEG channels) of four able-bodied subjects showed that the proposed method acquires low false positive rates at a reasonably high true positive rate. The results also show that features selected from different channels varied considerably from one subje

Who reads Application of a Hybrid Wavelet Feature Selection Method in the Design of a Self-paced Brain Interface System?

Author

Mehrdad Fatourechi; Gary E Birch; Rabab K Ward

Publisher

BioMed Central; Springer (Biomed Central Ltd.); [London]: BioMed Central, 2004-; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1743-0003)

Published

2007

Language

EN

Field

Medicine (Health Sciences)