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

被引：146

作者：

Neuper, Christa

Mueller-Putz, Gernot R.

Scherer, Reinhold

Pfurtscheller, Gert

机构：

[1] Graz Univ, Inst Psychol, A-8010 Graz, Austria

[2] Graz Univ Technol, Lab Brain Comp Interfaces, Inst Knowledge Discovery, A-8010 Graz, Austria

来源：

EVENT-RELATED DYNAMICS OF BRAIN OSCILLATIONS | 2006年 / 159卷

基金：

奥地利科学基金会;

关键词：

brain-computer interface (BCI); motor imagery; sensorimotor rhythm event-related; desynchronization (ERD); event-related synchronization (ERS); neuroprosthesis; virtual keyboard;

D O I：

10.1016/S0079-6123(06)59025-9

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

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.

引用

收藏

页码：393 / 409

页数：17

相关论文

共 58 条

[1] MOTOR IMAGERY - PERCEPTION OR ACTION [J].

ANNETT, J .

NEUROPSYCHOLOGIA, 1995, 33 (11) :1395-1417

[2] A spelling device for the paralysed [J].

Birbaumer, N ;

Ghanayim, N ;

Hinterberger, T ;

Iversen, I ;

Kotchoubey, B ;

Kübler, A ;

Perelmouter, J ;

Taub, E ;

Flor, H .

NATURE, 1999, 398 (6725) :297-298

[3] Initial oh-line evaluations of the LF-ASD brain-computer interface with able-bodied and spinal-cord subjects using imagined voluntary motor potentials [J].

Birch, GE ;

Bozorgzadeh, Z ;

Mason, SG .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2002, 10 (04) :219-224

[4] The use of EEG modifications due to motor imagery for brain-computer interfaces [J].

Cincotti, F ;

Mattia, D ;

Babiloni, C ;

Carducci, F ;

Salinari, S ;

Bianchi, L ;

Marciani, MG ;

Babiloni, F .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2003, 11 (02) :131-133

[5] A time-series prediction approach for feature extraction in a brain-computer interface [J].

Coyle, D ;

Prasad, G ;

McGinnity, TM .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2005, 13 (04) :461-467

[6] Learning to control brain activity: A review of the production and control of EEG components for driving brain-computer interface (BCI) systems [J].

Curran, EA ;

Stokes, MJ .

BRAIN AND COGNITION, 2003, 51 (03) :326-336

[7] Learned regulation of spatially localized brain activation using real-time fMRI [J].

DeCharms, RC ;

Christoff, K ;

Glover, GH ;

Pauly, JM ;

Whitfield, S ;

Gabrieli, JDE .

NEUROIMAGE, 2004, 21 (01) :436-443

[8] Rapid prototyping of an EEG-based brain-computer interface (BCI) [J].

Guger, C ;

Schlögl, A ;

Neuper, C ;

Walterspacher, D ;

Strein, T ;

Pfurtscheller, G .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2001, 9 (01) :49-58

[9]

Hart, 2006, PATTERN CLASSIFICATI

[10] Control of a hand grasp neuroprosthesis using an electroencephalogram-triggered switch: demonstration of improvements in performance using wavepacket analysis [J].

Heasman, JM ;

Scott, TRD ;

Kirkup, L ;

Flynn, RY ;

Vare, VA ;

Gschwind, CR .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2002, 40 (05) :588-593

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