A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training

被引：58

作者：

Tsui, Chun Sing Louis ^{[1
]}

Gan, John Q. ^{[1
]}

Roberts, Stephen J. ^{[2
]}

机构：

[1] Univ Essex, Sch Elect Engn & Comp Sci, Colchester CO4 3SQ, Essex, England

[2] Univ Oxford, Dept Engn Sci, Oxford OX1 6PJ, England

来源：

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING | 2009年 / 47卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

Brain-computer interface; Self-paced BCI paradigm; Asynchronous; Online training and adaptation; Extended Kalman filter; ASYNCHRONOUS BCI; MOTOR IMAGERY; CLASSIFICATION; COMMUNICATION; POTENTIALS;

D O I：

10.1007/s11517-009-0459-7

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Due to the non-stationarity of EEG signals, online training and adaptation are essential to EEG based brain-computer interface (BCI) systems. Self-paced BCIs offer more natural human-machine interaction than synchronous BCIs, but it is a great challenge to train and adapt a self-paced BCI online because the user's control intention and timing are usually unknown. This paper proposes a novel motor imagery based self-paced BCI paradigm for controlling a simulated robot in a specifically designed environment which is able to provide user's control intention and timing during online experiments, so that online training and adaptation of the motor imagery based self-paced BCI can be effectively investigated. We demonstrate the usefulness of the proposed paradigm with an extended Kalman filter based method to adapt the BCI classifier parameters, with experimental results of online self-paced BCI training with four subjects.

引用

页码：257 / 265

页数：9

共 27 条

[1]

[Anonymous], 4 INT WORKSH BRAIN C

[2]

[Anonymous], ADV NEURAL INFORM PR

[3]

[Anonymous], 2007, COMPUT INTEL NEUROSC

[4] 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

[5] 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

[6] The BCI competition III:: Validating alternative approaches to actual BCI problems [J].

Blankertz, Benjamin ;

Mueller, Klaus-Robert ;

Krusienski, Dean J. ;

Schalk, Gerwin ;

Wolpaw, Jonathan R. ;

Schloegl, Alois ;

Pfurtscheller, Gert ;

Millan, Jose D. R. ;

Schroeder, Michael ;

Birbaumer, Niels .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2006, 14 (02) :153-159

[7] Adaptive classification for brain computer interfaces [J].

Blumberg, Julie ;

Rickert, Joern ;

Waldert, Stephan ;

Schulze-Bonhage, Andreas ;

Aertsen, Ad ;

Mehring, Carsten .

2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, :2536-+

[8] A comparison approach toward finding the best feature and classifier in cue-based BCI [J].

Boostani, R. ;

Graimann, B. ;

Moradi, M. H. ;

Pfurtscheller, G. .

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2007, 45 (04) :403-412

[9] Towards a robust BCI:: Error potentials and online learning [J].

Buttfield, Anna ;

Ferrez, Pierre W. ;

Millan, Jose del R. .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2006, 14 (02) :164-168

[10]

FARQUHAR J, 2007, ADV NEURAL INFORM PR, V19

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