Skip to main navigation Skip to search Skip to main content

A P300-speller based on event-related spectral perturbation (ERSP)

  • Dong Ming*
  • , Xingwei An
  • , Baikun Wan
  • , Hongzhi Qi
  • , Zhiguo Zhang
  • , Yong Hu
  • *Corresponding author for this work
  • Tianjin University
  • The University of Hong Kong
  • Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A brain-computer interface (BCI) P300 speller is a novel technique that helps people spell words using the electroencephalography (EEG) without the involvement of muscle activities. However, only time domain ERP features (P300) are used for controlling of the BCI speller. In this paper, we investigated the time-frequency EEG features for the P300-based brain-computer interface speller. A signal preprocessing method integrated ensemble average, principal component analysis, and independent component analysis to remove noise and artifacts in the EEG data. A time-frequency analysis based on wavelet transform was carried out to extract event-related spectral perturbation (ERSP) and inter-trial coherence (ITC) features. Results showed that the proposed signal processing method can effectively extract EEG time-frequency features in the P300 speller, suggesting that ERSP and ITC may be useful for improving the performance of BCI P300 speller.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages63-66
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, China
Duration: 12 Aug 201215 Aug 2012

Publication series

Name2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012

Conference

Conference2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/TerritoryChina
CityHong Kong
Period12/08/1215/08/12

Keywords

  • Brain-computer interface
  • P300
  • event-related potentials
  • event-related spectral perturbation
  • inter-trial coherence

Fingerprint

Dive into the research topics of 'A P300-speller based on event-related spectral perturbation (ERSP)'. Together they form a unique fingerprint.

Cite this