SSVEP detection assessment by combining visual stimuli paradigms and no-training detection methods.

ABSTRACT:

Introduction

Brain-Computer Interfaces (BCI) based on Steady-State Visually Evoked Potentials (SSVEP) have great potential for use in communication applications because of their relatively simple assembly and in some cases the possibility of bypassing the time-consuming training stage. However, among multiple factors, the efficient performance of this technology is highly dependent on the stimulation paradigm applied in combination with the SSVEP detection algorithm employed. This paper proposes the performance assessment of the classification of target events with respect to non-target events by applying four types of visual paradigms, rectangular modulated On-Off (OOR), sinusoidal modulated On-Off (OOS), rectangular modulated Checkerboard (CBR), and sinusoidal modulated Checkerbo

SUBMITTER: Chailloux Peguero JD 

PROVIDER: S-EPMC10233154 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature