Moving towards a hardware implementation of the independent component analysis for brain computer interfaces

Alessandro Malatesta, Lucia Rita Quitadamo, Manuel Abbafati, Luigi Bianchi, Maria Grazia Marciani, Gian Carlo Cardarilli

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

Abstract

Brain Computer Interface (BCI) systems implement a communication path between human users and the external environment by translating physiological signals directly acquired from the brain into commands toward external peripherals. A lot of protocols have been implemented in the BCI field and a lot of analytical techniques and algorithms on the signals have been tested to improve the reliability of the information extracted from signals and then the performances of BCI systems. Independent Component Analysis (ICA) revealed to be a useful tool for analyzing data as it allows the separation of the signals in some independent sources which carry information about the different components of the signals themselves. However ICA is computationally expensive and some efforts should be done in order to maximize its results in terms of time spent for the analysis. A hardware implementation is now discussed which makes the ICA more useful for the online analysis typical of BCI systems.

Original languageEnglish
Title of host publicationConference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
Pages227-230
Number of pages4
DOIs
Publication statusPublished - 2007
EventIEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007 - Montreal, QC, Canada
Duration: Nov 27 2007Nov 30 2007

Other

OtherIEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
CountryCanada
CityMontreal, QC
Period11/27/0711/30/07

Keywords

  • Brain Computer Interface
  • FPGA
  • Independent Component Analysis

ASJC Scopus subject areas

  • Hardware and Architecture
  • Biomedical Engineering

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