Effect of Channel and Reference Selection on a Non-occipital Steady-State Visual Evoked Potential-Based Brain-Computer Interface

Wenli Lan, Hui Yang, Jing He, Yue Leng, Ruimin Wang, Keiji Iramina, Sheng Ge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The requirements of occipital electroencephalogram signals restrict the practicality of steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCI). This study evaluated the feasibility and performance of using non-occipital signals to identify SSVEPs. Channel and reference selections were investigated to determine the optimal non-occipital channel combinations and reference electrode. The spectra and signal-to-noise ratio results indicated that signals from temporal and central regions are available for non-occipital SSVEP BCI. The target identification results confirmed that appropriate combinations of non-occipital channels and reference can achieve sufficient accuracy of approximately 80%.

Original languageEnglish
Title of host publicationIEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
EditorsBing Xu, Kefen Mou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1274-1280
Number of pages7
ISBN (Electronic)9781665415989
DOIs
Publication statusPublished - Oct 15 2021
Event5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021 - Xi'an, China
Duration: Oct 15 2021Oct 17 2021

Publication series

NameIEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

Conference

Conference5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
Country/TerritoryChina
CityXi'an
Period10/15/2110/17/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Safety, Risk, Reliability and Quality

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