Preprocessing filter design and experimental evaluation of steady-state visual evoked potential signals
LI Weilong
ZHANG Ruizhi
GAO Guoya
LIU Peijun
GUI Zhiguo
SHANG Yu
Abstract：In order to achieve low-noise and high-quality EEG signal transmission,and enhance the application capability of steady-state visual evoked potentials(SSVEP)brain-computer interface system,we designed an SSVEP signal preprocessing filter for removing artifacts and signal drift.Firstly,based on the noisy data of preliminary study,we conducted offline analysis and verification,and used the grid search method to optimize the parameter setting in each filtering step.Then,spellers with 38 stimulus targets were de-signed and 20 healthy subjects were included for online analysis.The results showed that under the time window of 2、3 s,the prepro-cessed filtered signals were improved in classification accuracy by 8.88%and 6.66%,and the information transfer rate was improved by 19.59%and 10.5%,respectively.Moreover,the subjects were divided into the naive group and the experienced group,and the paired one-way ANOVA test confirmed that there was a significant difference in the accuracy between the two groups.The preprocessing filte-ring method can efficiently remove the artifacts and noise of SSVEP signals in both time and frequency domains,improve the accuracy of classification recognition,and can provide a reference for signal preprocessing in other paradigms of brain-computer interfaces.
Keywords：Steady-state visual evoked potentialsBrain-computer interfacePreprocessing filter designGrid search methodANOVA test
Publication Date：2023-12-25
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：10( 319-328 )