Correlation Analysis of Nonstationary Data: Application to the Processing of EEG

摘要

An overview of the current achievements in the development of data processing approaches that provide a correlation analysis of non-stationary, short and noisy time series is given. The application of these tools to recognize specific patterns in multi-channel electroencephalograms (EEG) is considered and the possibility of using correlation analysis in software for brain-computer interfaces is discussed.