EEG Data analysis and Feature classification of Mu and Beta Rhythm Using BCI2000 Software Platform
Keywords:
BCI2000, EEG signalAbstract
The development of brain-computer interface (BCI) systems that provide communication and control capabilities to people with severe motor disabilities. Further progress and realization of practical applications depends on systematic evaluations and comparisons of different brain signals, recording methods, processing algorithms, output formats, and design of application algorithms. However, the typical BCI system is designed specifically for one particular BCI method and is, therefore, not suited to the systematic studies that are essential for continued progress such as signal recording until user application protocols. In response to this demand, BCI2000 software platform has been established for general-purpose BCI research and development. This article is intended to describe to investigators, biomedical engineers, and computer engineers the concepts that the BCI2000 system is based upon and gives examples of successful BCI implementations using this system
References
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