ERP: Data : EEG Covariances for Event-Related Potentials

In Riemann: Learning with Data on Riemannian Manifolds

Data : EEG Covariances for Event-Related Potentials

Description

This dataset delivers 216 covariance matrices from EEG ERPs with 4 different known classes by types of sources. Among 60 channels, only 32 channels are taken and sample covariance matrix is computed for each participant. The data is taken from a Python library mne's sample data.

Usage

data(ERP)

Format

a named list containing

covariance

an (32\times 32\times 216) array of covariance matrices.

label

a length-216 factor of 4 different classes.

See Also

wrap.spd

Examples

## LOAD THE DATA AND WRAP AS RIEMOBJ
data(ERP)
myriem = wrap.spd(ERP$covariance)

Riemann documentation built on March 18, 2022, 7:55 p.m.