Skip to content

12-class joint frequency-phase modulated SSVEP dataset for estimating online BCI performance

Notifications You must be signed in to change notification settings

mnakanishi/12JFPM_SSVEP

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 

Repository files navigation

Summary

This dataset contains 12-class joint frequency-phase modulated steady-state visual evoked potentials (SSVEPs) acquired from 10 subjects used to estimate an online performance of brain-computer interface (BCI) in the reference study (Nakanishi et al., 2015).

File format

Each .mat file has a four-way tensor electroencephalogram (EEG) data for each subject.
Please see the reference paper for the detail.

[Number of targets, Number of channels, Number of sampling points, Number of trials] = size(eeg)

  • Number of targets : 12
  • Number of channels : 8
  • Number of sampling points : 1114
  • Number of trials : 15
  • Sampling rate [Hz] : 256

The order of the stimulus frequencies in the EEG data:
[9.25, 11.25, 13.25, 9.75, 11.75, 13.75, 10.25, 12.25, 14.25, 10.75, 12.75, 14.75] Hz
(e.g., eeg(1,:,:,:) and eeg(5,:,:,:) are the EEG data while a subject was gazing at the visual stimuli flickering at 9.25 Hz and 11.75Hz, respectively.)

The onset of visual stimulation is at 39th sample point, which means there are redundant data for 0.15 [s] before stimulus onset.

Reference

About

12-class joint frequency-phase modulated SSVEP dataset for estimating online BCI performance

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published