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Motor imagery and EEG-based control of spelling devices and neuroprostheses

NEUPER C; MULLER PUTZ GR; SCHERER R; PFURTSCHELLER G
PROG BRAIN RES , 2006, vol. 159, p. 393-409
Doc n°: 150195
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/S0079-6123(06)59025-9
Descripteurs : EC1 - PROTHESE, AK3 - EEG

A brain-computer interface (BCI) transforms signals originating from the human
brain into commands that can control devices or applications. With this, a BCI
provides a new non-muscular communication channel, which can be used to assist
patients who have highly compromised motor functions. The Graz-BCI uses motor
imagery and associated oscillatory EEG signals from the sensorimotor cortex for
device control. As a result of research in the past 15 years, the classification
of ERD/ERS patterns in single EEG trials during motor execution and motor imagery
forms the basis of this sensorimotor-rhythm controlled BCI. The major frequency
bands of cortical oscillations considered here are the 8-13 and 15-30 Hz bands.
This chapter describes the basic methods used in Graz-BCI research and outlines
possible clinical applications.

Langue : ANGLAIS

Tiré à part : OUI

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