Laboratoire d'Ingénierie des Systèmes de VersaillesLaboratoire d'Ingénierie des Systèmes de VersailleslisvlisvZIPbraineegcc-zeroAug 11, 20152015-08-11
Dataset
dataset-ssvep-led
This dataset is an electroencephalographic (EEG) recording for Brain Computer Interface (BCI). It gathers Steady State Visually Evoked Potential-based BCI recordings of 5 subjects focusing on 3 groups of LED blinking at different frequencies.
This dataset is an electroencephalographic (EEG) recording for Brain Computer Interface (BCI). It gathers Steady State Visually Evoked Potential-based BCI recordings of 5 subjects focusing on 3 groups of LED blinking at different frequencies.
Download & API
SSVEP-based BCI with LEDzip
# dataset-ssvep-led
## Introduction
This dataset gathers SSVEP-based BCI recordings of 5 subjects focusing on 3 groups of LED blinking at differents frequencies.
## Related publications:
This dataset is used in the following publications:
- Emmanuel Kalunga, Karim Djouani, Yskandar Hamam, Sylvain Chevallier, Eric Monacelli. _SSVEP Enhancement Based on Canonical Correlation Analysis to Improve BCI Performances_. IEEE AFRICON, pp. 1-5, Ile Maurice, 2013.
## Experimental setup
The g.Mobilab+ device is used for recording EEG at 256 Hz on 8 channels. For SSVEP stimulation, flash stimulus technique has been chosen. To avoid limitation imposed by refresh rate of computer screens, a microcontroller is set up to flash stimuli with light emitting diodes (LED) at frequencies F ={13, 17, 21} Hz. The device has been controlled and the LED blinking is precise up to the millisecond. The eight electrodes are placed according to the 10/20 system on Oz, O1, O2, POz, PO3, PO4, …
Sources & license
License
- cc-zero