seizure {assist} | R Documentation |

## IEEG segments from a seizure patient

### Description

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

### Usage

```
data(seizure)
```

### Details

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.

### Format

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

### Source

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.

### references

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 3.1.9

Index]