Exploring preprocessing techniques in a three-class brain-machine interface

Author

Barbosa, André F. ; Souza, Bryan C. ; Ferro, Dayara ; Pantoja, André L H ; Dória, Adrião D. ; Pereira, Antônio ; Guerreiro, Ana M G

Author_Institution

Univ. Fed. do Rio Grande do Norte, Natal, Brazil

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

4242

Lastpage

4245

Abstract

In this work, we implemented a brain-machine interface (BMI) based on electroencephalographic (EEG) signals and used it to classify and separate three types of mental tasks: motor imagery with the right and left hands and simple arithmetic sums. In order to reduce dimension of variables and increase classification power, we used both PCA and ICA based algorithms for spectral analysis. Our results show that we were no able to reduce dimension without reducing classification performance.

Keywords

brain-computer interfaces; electroencephalography; independent component analysis; medical signal processing; neurophysiology; principal component analysis; ICA based algorithm; PCA based algorithm; electroencephalographic signals; left hand; mental tasks; motor imagery; preprocessing techniques; right hand; spectral analysis; three-class brain-machine interface; Accuracy; Brain computer interfaces; Classification algorithms; Electrodes; Electroencephalography; Feature extraction; Principal component analysis; Brain; Electrodes; Functional Laterality; Humans; Male; Man-Machine Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5627382

Filename

5627382