Enhancing Detection of SSMVEP Induced by Action Observation Stimuli Based on Task-Related Component Analysis.

ABSTRACT: Action observation (AO)-based brain-computer interface (BCI) is an important technology in stroke rehabilitation training. It has the advantage of simultaneously inducing steady-state motion visual evoked potential (SSMVEP) and activating sensorimotor rhythm. Moreover, SSMVEP could be utilized to perform classification. However, SSMVEP is composed of complex modulation frequencies. Traditional canonical correlation analysis (CCA) suffers from poor recognition performance in identifying those modulation frequencies at short stimulus duration. To address this issue, task-related component analysis (TRCA) was utilized to deal with SSMVEP for the first time. An interesting phenomenon was found: different modulated frequencies in SSMVEP distributed in different task-related components. On this

SUBMITTER: Zhang X 

PROVIDER: S-EPMC8400839 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature