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On the Statistical Significance of Event-Related EEG Desynchronization and Synchronization in the Time-Frequency Plane
2004
IEEE Transactions on Biomedical Engineering
We propose and discuss a complete framework for estimating significant changes in the average time-frequency density of energy of event-related signals. Addressed issues include estimation of time-frequency energy density (matching pursuit and spectrogram), choice of resampling statistics to test the hypothesis of change in one small region (resel) and correction for multiplicity (False Discovery Rate). We present estimation of the significance of event-related EEG desynchronization and
doi:10.1109/tbme.2004.827341
pmid:15248533
fatcat:ggqudvzoznej3j4lutlcxvhdpe