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Bipolar electrode selection for a motor imagery based brain–computer interface

Bin Lou, Bo Hong, Xiaorong Gao and Shangkai Gao

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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.


PACS

87.85.Ng Biological signal processing

87.19.L- Neuroscience

87.19.R- Mechanical and electrical properties of tissues and organs

07.05.Wr Computer interfaces

02.70.Rr General statistical methods

Subjects

Computational physics

Instrumentation and measurement

Medical physics

Biological physics

Dates

Issue 3 (15 September 2008)

Received 2 June 2008, accepted for publication 7 August 2008

Published 28 August 2008



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