DocumentCode :
3717797
Title :
EEG-SSVEP signals extraction with nonlinear adaptive filter for brain-controlled wheelchair
Author :
Arjon Turnip;Demi Soetraprawata;Tua Agustinus Tamba
Author_Institution :
Technical Implementation Unit for Instrumentation Development, Indonesian Institute of Sciences, Bandung, Indonesia
fYear :
2015
Firstpage :
1870
Lastpage :
1873
Abstract :
In this paper, an application of nonlinear adaptive filter on EEG-SSVEP extraction for brain-controlled wheelchair is proposed. In the experiment, four subjects with age about 25±1 years were tested. The experimental results in this work show that the implementation of the proposed method achieves a very significant statistical improvement in extracting peak amplitude features. After a short time of practice, most participants could learn to extract the EEG-SSVEP wave with greater than 95% accuracy.
Keywords :
Visualization
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2015 15th International Conference on
ISSN :
2093-7121
Type :
conf
DOI :
10.1109/ICCAS.2015.7364667
Filename :
7364667
Link To Document :
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