A brain-computer interface (BCI) system based on auditory stream segregation

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

An auditory brain-computer interface (BCI) which detects event-related potentials (ERPs) elicited by selective attention to one of the tone streams was proposed. Two frequency oddball tone sequences with different tone frequency ranges were alternately presented to subjects, and were perceived by subjects as two kinds of segregated streams. Event-related potentials elicited by two kinds of deviant tones were classified by linear discriminant analysis (LDA) to find the stream subjects paid selective attention to. Experiments with six subjects have shown that this system could realize binary selection from two tone streams.

Original languageEnglish
Pages (from-to)32-40
Number of pages9
JournalJournal of Biomechanical Science and Engineering
Volume5
Issue number1
DOIs
Publication statusPublished - 2010 Aug 6

Keywords

  • Auditory stream segregation
  • Brain-computer interface (BCI)
  • Event-related potential
  • Pattern classification
  • Selective attention

ASJC Scopus subject areas

  • Biomedical Engineering

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