EEG signal processing for brain-computer interfaces

Date
2014
Authors
Georgieva, P
Silva, F
Milanova, M
Kasabov, N
Supervisor
Item type
Chapter in Book
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Springer-Verlag
Abstract

This chapter is focused on recent advances in electroencephalogram (EEG) signal processing for brain computer interface (BCI) design. A general overview of BCI technologies is first presented, and then the protocol for motor imagery noninvasive BCI for mobile robot control is discussed. Our ongoing research on noninvasive BCI design based not on recorded EEG but on the brain sources that originated the EEG signal is also introduced. We propose a solution to EEG-based brain source recovering by combining two techniques, a sequential Monte Carlo method for source localization and spatial filtering by beamforming for the respective source signal estimation. The EEG inverse problem is previously studded assuming that the source localization is known. In this work for the first time the problem of inverse modeling is solved simultaneously with the problem of the respective source space localization.

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Keywords
Source
Springer Handbook of Bio-/Neuroinformatics (2014), pp 797-812
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