A brain-machine interface based on EEG: Extracted alpha waves applied to mobile robot

  • Mufti Mahmud*
  • , David Hawellek
  • , Aleksander Valjamae
  • *Corresponding author for this work

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

17 Scopus citations

Abstract

The increasing number of signal processing tools for highly parallel neurophysiological recordings opens up new avenues for connecting technologies directly to neuronal processes. As the understanding is taking a better shape, lot more work to perform is coming up. A simple brain-machine interface may be able to reestablish the broken loop of the persons with motor dysfunction. With time the brain-machine interfacing is growing more complex due to the increased availability of instruments and processes for implementation. In this work, as a proof-of-principle we established a brain-machine interface through a few simple processes to control a robotic device using the alpha wave's event-related synchronization and event-related de-synchronization extracted from EEG.

Original languageEnglish
Title of host publicationProceedings - 2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009
Pages28-31
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009 - Iasi, Romania
Duration: 22 Jul 200926 Jul 2009

Publication series

NameProceedings - 2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009

Conference

Conference2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009
Country/TerritoryRomania
CityIasi
Period22/07/0926/07/09

Keywords

  • Brain-Machine Interface
  • Electroencephalogram
  • Event-related synchronization, Event-related desynchronization
  • Neurophysiological recording
  • Signal processing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Medicine (miscellaneous)

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