Extraction of feature information in EEG signal by virtual EEG instrument with the functions of time-frequency analysis

Abstract

To extract the feature information in EEG signals efficiently, various time-frequency analysis methods for EEG signals analysis have been discussed in theory. However, it is reported little in literature that how to make these theoretical research productions be useful algorithms in practice and integrate them into EEG detection and analysis instrument. Based on virtual instrument technology, the time-frequency analysis methods have been further discussed from theory, then the concrete algorithms of the time-frequency analysis methods used for the extraction of EEG feature rhythms have been established and integrated into the virtual EEG instrument. By this way, the time-frequency analysis methods to be used to detect and extract the feature information in EEG signals automatically can be realized in clinical.