An Approach to a Phase Model for Steady State Visually Evoked Potentials

  • Jaiber CardonaEmail author
  • Eduardo Caicedo
  • Wilfredo Alfonso
  • Ricardo Chavarriaga
  • José del R. Millán
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 15)


One of the most used signals in Brain Machine Interfaces (BMI) is the Steady State Visually Evoked Potentials (SSVEP). In a SSVEP-based BMI, a visual stimulus that flickers in a constant frequency is presented to the user, and the system has to detect if the user is gazing the stimulus. Usually the stimulus is a rectangular signal and there are no clear criteria for select the duty cycle, which is generally fixed to 50 %. We propose a model for SSVEP that links the phase and amplitude variations in function of the duty cycle for a specific frequency. This model can be adjusted using only the phase of the SSVEP signal and it could improve the SSVEP-based BMI by selecting the duty cycle. The model was fixed for SSVEP responses in a man who is 39 years old. The mean absolute error below 0.3 rad shows that the model predicts the phase in the majority of the used frequencies.



This work is funded by the Government of Switzerland through the call for Seed Money Grants Latin America 2015, and is supported by the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland and the Universidad del Valle in Colombia; it is also supported by CYTED REASISTE network.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jaiber Cardona
    • 1
    Email author
  • Eduardo Caicedo
    • 2
  • Wilfredo Alfonso
    • 2
  • Ricardo Chavarriaga
    • 3
  • José del R. Millán
    • 3
  1. 1.Universidad del QuindíoArmeniaColombia
  2. 2.Universidad del ValleCaliColombia
  3. 3.Ecole Polytechnique Fédérale de LausanneLausanneSwitzerland

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