Bipolar electrode selection for a motor imagery based brain-computer interface.

Abstract:

:A motor imagery based brain-computer interface (BCI) provides a non-muscular communication channel that enables people with paralysis to control external devices using their motor imagination. Reducing the number of electrodes is critical to improving the portability and practicability of the BCI system. A novel method is proposed to reduce the number of electrodes to a total of four by finding the optimal positions of two bipolar electrodes. Independent component analysis (ICA) is applied to find the source components of mu and alpha rhythms, and optimal electrodes are chosen by comparing the projection weights of sources on each channel. The results of eight subjects demonstrate the better classification performance of the optimal layout compared with traditional layouts, and the stability of this optimal layout over a one week interval was further verified.

journal_name

J Neural Eng

authors

Lou B,Hong B,Gao X,Gao S

doi

10.1088/1741-2560/5/3/007

subject

Has Abstract

pub_date

2008-09-01 00:00:00

pages

342-9

issue

3

eissn

1741-2560

issn

1741-2552

pii

S1741-2560(08)82349-X

journal_volume

5

pub_type

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