User customization of the feature generator of an asynchronous brain interface.

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.

journal_name

Ann Biomed Eng

authors

Bashashati A,Fatourechi M,Ward RK,Birch GE

doi

10.1007/s10439-006-9097-5

subject

Has Abstract

pub_date

2006-06-01 00:00:00

pages

1051-60

issue

6

eissn

0090-6964

issn

1573-9686

journal_volume

34

pub_type

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