A multimenu system based on the p300 component as a time saving procedure for communication with a brain-computer interface

Joanna Jarmolowska, Marcello M. Turconi, Pierpaolo Busan, Jie Mei, Piero P. Battaglini

Research output: Contribution to journalArticlepeer-review

Abstract

The present study investigates a Brain-Computer Interface (BCI) spelling procedure based on the P300 evoked potential. It uses a small matrix of words arranged in a tree-shaped organization ("multimenu"), and allows the user to build phrases one word at a time, instead of letter by letter. Experiments were performed in two sessions on a group of seven healthy volunteers. In the former, the "multimenu" was tested with a total of 60 choices: 30 "externally-imposed" selections and 30 "free-choice" selections. In the latter, 3 × 3 matrices were compared with 6 × 6 matrices. Each matrix was composed of letters or words, for a total of four matrices. Differences in classifier accuracy, bit rate and amplitude of the evoked P300 were evaluated. Average accuracy in all subjects was 87% with no differences between the selection methods. The 3 × 3 "multimenu" obtained the same level of classifier accuracy as the 6 × 6 matrices, even with a significantly lower amplitude of the P300. Bit rate was increased when using the 3 × 3 matrices compared to the 6 × 6 ones. The "multimenu" system was equally effective, but faster than conventional, letter-based matrices. By improving the speed of communication, this method can be of help to patients with severe difficulties in communication.

Original languageEnglish
Article number39
JournalFrontiers in Neuroscience
Issue number7 MAR
DOIs
Publication statusPublished - 2013

Keywords

  • Brain-computer interface
  • Electroencephalography
  • P300
  • Semantic organization
  • Spelling

ASJC Scopus subject areas

  • Neuroscience(all)

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