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

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3 Author(s)
Mufti Mahmud ; Dept. of Neurophysiol. & Pathophysiology, Univ. Med. Center Hamburg-Eppendorf, Hamburg, Germany ; David Hawellek ; Aleksander Valjamae

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