User customization of the feature generator of an asynchronous brain interface

TitleUser customization of the feature generator of an asynchronous brain interface
Publication TypeJournal Article
Year of Publication2006
AuthorsBashashati, A., M. Fatourechi, R. K. Ward, and G. E. Birch
JournalAnn Biomed Eng
Volume34
Pagination1051-60
Date PublishedJun
Abstract

A study that customizes the feature generator parameters of an asynchronous Brain Interface (BI) is discussed. The goal is to detect the presence of a certain pattern, in the ongoing EEG, associated with a specific movement and to improve the system's performance. Results of this study show that customization mostly benefits able-bodied subjects with performance improvements of up to 6.8%. We evaluate the performance of our BI using stratified cross-validation scheme. This scheme repeats the analysis on the different cross-validation sets. It is shown that the performances of the system across the different sets are very similar. Thus, we conclude that a robust performance measure of the system can be obtained by using only one of these performance results.

URLhttp://dx.doi.org/10.1007/s10439-006-9097-5
DOI10.1007/s10439-006-9097-5

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