Functional Brain Connectivity as a New Feature for P300 Speller.

ABSTRACT: The brain is a large-scale complex network often referred to as the "connectome". Cognitive functions and information processing are mainly based on the interactions between distant brain regions. However, most of the 'feature extraction' methods used in the context of Brain Computer Interface (BCI) ignored the possible functional relationships between different signals recorded from distinct brain areas. In this paper, the functional connectivity quantified by the phase locking value (PLV) was introduced to characterize the evoked responses (ERPs) obtained in the case of target and non-targets visual stimuli. We also tested the possibility of using the functional connectivity in the context of 'P300 speller'. The proposed approach was compared to the well-known methods proposed in the sta

SUBMITTER: Kabbara A 

PROVIDER: S-EPMC4709183 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature