EEG Signals from an RSVP Task

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Version 1 - May 2017

When referencing this material, please cite:

Matran-Fernandez A, Polo R (2017) Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces. PLoS ONE 12(5):e0178498. [bib]
  author  = {Ana Matran-Fernandez, Riccardo Poli},
  title   = {Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces},
  journal = {PLOS ONE},
  volume  = {12},
  issue   = {5},
  pages   = {21-34},
  year    = {2017}

Please also include the standard citation for PhysioNet:

Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages;]; 2000 (June 13). [bib]
  author    = {Goldberger, Ary L. and Amaral, Luis A. N.
               and Glass, Leon and Hausdorff, Jeffrey M.
               and Ivanov, Plamen Ch. and Mark, Roger G.
               and Mietus, Joseph E. and Moody, George B.
               and Peng, Chung-Kang and Stanley, H. Eugene},
  title     = {{PhysioBank}, {PhysioToolkit}, and {PhysioNet}:
               Components of a New Research Resource for Complex
               Physiologic Signals},
  journal   = {Circulation},
  publisher = {American Heart Association, Inc.},
  volume    = {101},
  number    = {23},
  year      = {2000},
  month     = {June},
  pages     = {e215--e220},
  doi       = {10.1161/01.CIR.101.23.e215},
  issn      = {0009-7322},
  url       = {}

This project contains EEG data from 11 healthy participants upon rapid presentation of images through the Rapid Serial Visual Presentation (RSVP) protocol at speeds of 5, 6, and 10 Hz.

Data Collection

The images are aerial pictures of London, subtending 11.5 x 11.8 degrees of visual angle. Target images contained a randomly rotated and positioned airplane that had been photo realistically superimposed. Non-target images did not contain airplanes. The horizontal position of a target was defined as the x-coordinate of the centroid of the airplane. Lateral targets (the ones included in this database) were those the centroid of which was positioned at a visual angle of at least +/-1.2 degrees of visual axis on the horizontal axis (with respect to the centre of the screen), and they represented about 60% of the target images.

Data Files

The data presented here are EEG signals from 8 channels following the 10-20 system (PO8, PO7, PO3, PO4, P7, P8, O1 and O2) during a rapid serial visual presentation (RSVP) task.

The file names have the following format: rsvp_{5,6,10}Hz_{participant_id}{a,b}.edf

For each presentation rate and participant there are two files. The last field (either "a" or "b") just indicates which one was taken first. Participants took a long break between both files.

Each of these files contains a continuous EEG recording from a participant and presentation rate as given in the file name. Samples are measured in microVolts.

The annotations specify the onset of each image, and whether it was a target (T=1) or not (T=0). If the image contained a target, the x-coordinate of its centroid (ranging 0-640, measured in pixels) is also given in the annotation.

EEG data have been filtered between 0.15-28 Hz and the sampling rate is 2048 Hz.


This data was contributed by Ana Matran-Fernandez from the University of Essex.

Icon  Name                    Last modified      Size  Description
[PARENTDIR] Parent Directory - [DIR] 10-Hz/ 2017-05-18 10:16 - [DIR] 5-Hz/ 2017-05-18 10:19 - [DIR] 6-Hz/ 2017-05-18 10:19 - [   ] DOI 2018-08-29 15:19 19 [   ] MD5SUMS 2018-08-30 16:37 127 [   ] RECORDS 2017-05-18 10:55 1.4K list of record names [   ] SHA1SUMS 2018-08-30 16:37 151 [   ] SHA256SUMS 2018-08-30 16:37 223

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Updated Friday, 28 October 2016 at 16:58 EDT

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.