{
  "Name": "Kalunga2016 – SSVEP Exo dataset",
  "BIDSVersion": "1.9.0",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "CC-BY-4.0",
  "Authors": [
    "Emmanuel K. Kalunga",
    "Sylvain Chevallier",
    "Quentin Barthélemy",
    "Karim Djouani",
    "Eric Monacelli",
    "Yskandar Hamam"
  ],
  "ReferencesAndLinks": [
    "https://zenodo.org/record/2392979"
  ],
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.4.3"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "10.1016/j.neucom.2016.01.007",
      "URL": "https://zenodo.org/record/2392979"
    }
  ],
  "Keywords": [
    "Riemannian geometry",
    "Online",
    "Asynchronous",
    "Brain-Computer Interfaces",
    "Steady State Visually Evoked Potentials"
  ],
  "PublicationYear": 2016,
  "ExperimentName": "Kalunga2016",
  "Description": "SSVEP Exo dataset.\n\n\nDataset summary:\n\n#Subj     12\n#Chan      8\n#Classes      4\n#Trials / class     16\nTrials length    2 s\nFreq 256 Hz\n#Sessions      1\n\n\nParticipants:\n\n- Population: healthy\n\n\nEquipment:\n\n- Amplifier: g.tec MobiLab\n- Electrodes: EEG\n- Montage: standard_1005\n- Reference: right mastoid\n\n\nData Access:\n\n- DOI: 10.1016/j.neucom.2016.01.007\n- Data URL: https://zenodo.org/record/2392979\n- Repository: Zenodo\n\n\nExperimental Protocol:\n\n- Paradigm: ssvep\n- Feedback: none\n- Stimulus: flickering\n\nSSVEP dataset from E. Kalunga PhD in University of Versailles [1]_.\n\nThe datasets contains recording from 12 male and female subjects aged\nbetween 20 and 28 years. Informed consent was obtained from all subjects,\neach one has signed a form attesting her or his consent. The subject sits\nin an electric wheelchair, his right upper limb is resting on the\nexoskeleton. The exoskeleton is functional but is not used during the\nrecording of this experiment.\n\nA panel of size 20x30 cm is attached on the left side of the chair, with\n3 groups of 4 LEDs blinking at different frequencies. Even if the panel\nis on the left side, the user could see it without moving its head. The\nsubjects were asked to sit comfortably in the wheelchair and to follow the\nauditory instructions, they could move and blink freely.\n\nA sequence of trials is proposed to the user. A trial begin by an audio cue\nindicating which LED to focus on, or to focus on a fixation point set at an\nequal distance from all LEDs for the reject class. A trial lasts 5 seconds\nand there is a 3 second pause between each trial. The evaluation is\nconducted during a session consisting of 32 trials, with 8 trials for each\nfrequency (13Hz, 17Hz and 21Hz) and 8 trials for the reject class, i.e.\nwhen the subject is not focusing on any specific blinking LED.\n\nThere is between 2 and 5 sessions for each user, recorded on different\ndays, by the same operators, on the same hardware and in the same\nconditions.\n\nNotes\n-----\n\n.. note::\n\n``Kalunga2016`` was previously named ``SSVEPExo``. ``SSVEPExo`` will be removed in version 1.1.\n\nThe events notation 17Hz and 21Hz were swapped after an investigation conducted\nby ponpopon at Github.\n\nThe dataset includes recordings from 12 healthy subjects.\n\n.. versionadded:: 1.2.0\n\nReferences\n----------\n.. [1] Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthelemy. \"Online\nSSVEP-based BCI using Riemannian Geometry\". Neurocomputing, 2016.\narXiv report: https://arxiv.org/abs/1501.03227",
  "DatasetDOI": "10.82901/nemar.nm000123",
  "Version": "1.0.1"
}