eegdata {eegkitdata}R Documentation

EEG data from alcoholic and control subjects

Description

Contains 64-channel electroencephalography (EEG) data from 10 alcoholic and 10 control subjects participating in a visual event-related potential (ERP) experiment. Data frame contains 5 trials (replications) from each subject. Data were recorded at 256 Hz for 1 second following the presentation of the visual stimulus.

Usage

data(eegdata)

Format

A data frame with 1638400 observations and the following 7 variables:

subject

Subject identification numbers (factor).

group

Subject group: "a" for alcoholic and "c" for control (factor).

condition

Experimental condition: "S1" (factor).

trial

Trial number for each replication (integer).

channel

Channel from which data was recorded (factor).

time

Time point at which data was recorded: 0,1,...,255 (integer).

voltage

Recorded EEG voltage in microvolts (numeric).

Details

Created from UCI MLR EEG training data using geteegdata with option nt=5.

Author(s)

Nathaniel E. Helwig <helwig@umn.edu>

Source

Bache, K. & Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

Begleiter, H. Neurodynamics Laboratory. State University of New York Health Center at Brooklyn.

Ingber, L. (1997). Statistical mechanics of neocortical interactions: Canonical momenta indicatros of electroencephalography. Physical Review E, 55, 4578-4593.

Ingber, L. (1998). Statistical mechanics of neocortical interactions: Training and testing canonical momenta indicators of EEG. Mathematical Computer Modelling, 27, 33-64.

Examples

# see examples for eegtime, eegspace, eegica, and eegsmooth (in package eegkit)

# example code to create eegdata (not run):
# #(1)# download and untar SMNI_CMI_TRAIN.tar.gz file from UCI:
#     # http://archive.ics.uci.edu/ml/machine-learning-databases/eeg-mld/
# #(2)# eegdata=geteegdata(indir="/Users/Nate/Downloads/SMNI_CMI_TRAIN/",nt=5)

[Package eegkitdata version 1.0 Index]