Performances evaluation and optimization of brain computer interface systems in a copy spelling task

Luigi Bianchi, Lucia Rita Quitadamo, Girolamo Garreffa, Gian Carlo Cardarilli, Maria Grazia Marciani

Research output: Contribution to journalArticlepeer-review

Abstract

The evaluation of the performances of brain-computer interface (BCI) systems could be difficult as a standard procedure does not exist. In fact, every research team creates its own experimental protocol (different input signals, different trial structure, different output devices, etc.) and this makes systems comparison difficult. Moreover, the great question is whether these experiments can be extrapolated to real world applications or not. To overcome some intrinsic limitations of the most used criteria a new efficiency indicator will be described and used. Its main advantages are that it can predict with a high accuracy the performances of a whole system, a fact that can be used to successfully improve its behavior. Finally, simulations were performed to illustrate that the best system is built by tuning the transducer (TR) and the control interface (CI), which are the two main components of a BCI system, so that the best TR and the best CI do not exist but just the best combination of them.

Original languageEnglish
Pages (from-to)207-216
Number of pages10
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume15
Issue number1
DOIs
Publication statusPublished - Mar 2007

Keywords

  • Assistive communication
  • Brain-computer interface (BCI)
  • Efficiency
  • Optimization
  • Performance

ASJC Scopus subject areas

  • Neuroscience(all)
  • Computer Science Applications
  • Biomedical Engineering

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