Multi-resolution time-frequency analysis for detection of rhythms of EEG signals

In recent years, various time-frequency methods have been applied widely For detecting all kinds of feature waves and abnormal waves in EEG signals. But because of the nature and some limitation of themselves, their application in EEG analysis has been limited. Considering the excellence and shortcoming of STFT and wavelet, in the "virtual EEG recording and analysis instrumentation", the multi-resolution time-frequency analysis method based on STFT and wavelet packet transform has been introduced to advance the self-adaptive ability for signals, so more flexible division of frequency bands in EEG can be obtained and the basic rhythms in EEG signals can be detected efficiently.