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

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.


Editor(s):
Ibanez, J
Gonzalez Vargas, J
Azorin, Jm
Akay, M
Pons, Jl
Published in:
Converging Clinical And Engineering Research On Neurorehabilitation Ii, Vols 1 And 2, 15, 1481-1489
Presented at:
3rd International Conference on NeuroRehabilitation (ICNR), Segovia, SPAIN, OCT 18-21, 2016
Year:
2017
Publisher:
Cham, Springer International Publishing Ag
ISSN:
2195-3562
ISBN:
978-3-319-46669-9
978-3-319-46668-2
Laboratories:




 Record created 2017-09-05, last modified 2018-05-09


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)