Task-irrelevant alpha component analysis in motor imagery based brain computer interface

Author

Lou, Bin ; Hong, Bo ; Gao, Shangkai

Author_Institution

Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

1021

Lastpage

1024

Abstract

In motor imagery based BCI, the alpha rhythm shares the same frequency band with sensorimotor rhythm (SMR), and does not correlate with mental task, which contaminates the SMR recording. Independent component analysis (ICA) was applied to decompose original EEG signal into source components, and a comprehensive method was proposed to discriminate those source components by combining temporal, frequency, spatial, and class label information. Task-irrelevant alpha components were sorted out and their projections were reduced by proper bipolar electrode placement for improving the BCI performance.

Keywords

Biomedical engineering; Brain computer interfaces; Electrodes; Electroencephalography; Frequency; Image analysis; Independent component analysis; Rhythm; Scalp; Spatial filters; alpha rhythm; brain computer interface; independent component analysis; motor imagery; Algorithms; Alpha Rhythm; Brain Mapping; Electroencephalography; Evoked Potentials, Motor; Humans; Imagination; Motor Cortex; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Task Performance and Analysis; User-Computer Interface;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649329

Filename

4649329