Complex Analysis of EEG Signal for Biometrical Classification Purposes
Aim of this article is to clarify the potential utilization of complex EEG signal in modern information age. Brain Computer Interface (BCI) represents the connection of brain waves with output device through some interface.
It was investigated whether the correlation analysis of the EEG signal may be used for finding appropriate classification parameters. EEG signal was measured in the idle state of mind of 3 subjects. Complex correlation analysis was performed for 16 samples of each obtained signal history. Moreover, the position of maximal correlation was also recorded.
KeywordsMaximal Correlation Probabilistic Neural Network Idle State Brain Computer Interface Classification Parameter
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