Bibtex_17A

@INPROCEEDINGS{Cardona17,

author = {Cardona, Jaiber and Caicedo, Eduardo and Alfonso, Wilfredo and Chavarriaga, Ricardo and Mill{\'a}n, Jos{\'e} del R.},

title = {An approach to a phase model for steady state visually evoked potentials},

booktitle = {Converging Clinical and Engineering Research on Neurorehabilitation II},

year = {2017},

editor = {Ib{\'a}{\~n}ez, Jaime and Gonz{\'a}lez, Jos{\'e} and Azor{\'i}n, Jos{\'e} M. and Akay, Metin and Pons, Jos{\'e} L.},

pages = {1481--1489},

address = {Cham},

publisher = {Springer International Publishing},

abstract = {One of the most used signals in Brain Machine Interfaces (BMI) is the Steady State Visually Evoked Potentials (SSVEP). In an 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 at 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.},

isbn = {978-3-319-46669-9},

}