Motor Imagery with Brain- Computer Interface Neurotechnology

A brain-computer interface (BCI) analyzes brain activity in real-time to convey information or control an external device. BCI systems often consist of a biosignal amplifier for EEG data acquisition, parameter estimation, and classification to make decisions in real-time. Many BCIs are controlled via motor imagery (through imagined movements), which modulates the EEG in certain frequency bands and regions. Motor imagery based BCIs are used for various applications like cursor control, ∗ guger@gtec.at No part of this digital document may be reproduced, stored in a retrieval system or transmitted commercially in any form or by any means. The publisher has taken reasonable care in the preparation of this digital document, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of information contained herein. This digital document is sold with the clear understanding that the publisher is not engaged in rendering legal, medical or any other professional services. Christoph Guger, Christoph Kapeller, Rupert Ortner et al. 62 robotic and avatar control, stroke rehabilitation, cognitive assessment, training, and communication. This article presents key scientific experiments and applications, including some of the newest results.