Unknown

Dataset Information

A quantization algorithm of visual fatigue based on underdamped second order stochastic resonance for steady state visual evoked potentials.


ABSTRACT:

Introduction

In recent years, more and more attention has been paid to the visual fatigue caused by steady state visual evoked potential (SSVEP) paradigm. It is well known that the large-scale application of brain-computer interface is closely related to SSVEP, and the fatigue caused by SSVEP paradigm leads to the reduction of application effect. At present, the mainstream method of objectively quantifying visual fatigue in SSVEP paradigm is based on traditional canonical correlation analysis (CCA).

Methods

In this paper, we propose a new SSVEP paradigm visual fatigue quantification algorithm based on underdamped second-order stochastic resonance (USSR) to accurately quantify visual fatigue caused by SSVEP paradigm in different working modes using single-channel electroencep

SUBMITTER: Tian P 

PROVIDER: S-EPMC10702533 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature