By Topic

A Brain-Machine Interface Based on EEG: Extracted Alpha Waves Applied to Mobile Robot

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Mahmud, M. ; Dept. of Neurophysiol. & Pathophysiology, Univ. Med. Center Hamburg-Eppendorf, Hamburg, Germany ; Hawellek, D. ; Valjamae, A.

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 wavepsilas event-related synchronization and event-related de-synchronization extracted from EEG.

Published in:

Advanced Technologies for Enhanced Quality of Life, 2009. AT-EQUAL '09.

Date of Conference:

22-26 July 2009