seizure {assist}R Documentation

IEEG segments from a seizure patient


The 'seizure' data frame has 60,000 rows and 3 columns of data from an IEEG time series




The baseline segment contains 5-minute IEEG signal extracted at least four hours before the seizure's onset. The preseizure segment contains 5-minute IEEG signal right before a seizure's clinical onset. The sampling rate of the IEEG signal is 200 observations per second. Therefore there are 60,000 time points in each segment.


The data frame contains the following columns:

t a numeric vector of the observation number

base a numeric vector of the baseline segment

preseizure a numeric vector of the segment right before a seizure


D'Alessandro, M., Vachtsevanos, G., Esteller, R., Echauz, J. and Litt, B. (2001). A Generic Approach to Selecting the Optimal Feature for Epileptic Seizure Prediction. IEEE International Meeting of the Engineering in Medicine and Biology Society.


Qin, L. and Wang, Y. (2008), Nonparametric Spectral Analysis With Applications to Seizure Characterization Using EEG Time Series. Annals of Applied Statistics 2, 1432-1451.

[Package assist version 3.1.7 Index]