P300-based BCI mouse with genetically-optimized analogue control

被引:93
作者
Citi, Luca [1 ,2 ]
Poli, Riccardo [2 ]
Cinel, Caterina [3 ]
Sepulveda, Francisco [2 ]
机构
[1] IMT Inst Adv Studies, I-55100 Lucca, Italy
[2] Univ Essex, Dept Comp & Elect Syst, Colchester CO4 3SQ, Essex, England
[3] Univ Essex, Dept Psychol, Colchester CO4 3SQ, Essex, England
关键词
brain-computer interfaces (BCIs); genetic algorithms; mouse; P300;
D O I
10.1109/TNSRE.2007.913184
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this paper we propose a brain-computer interface (130) mouse based on P300 waves in electroencephalogram (EEG) signals. The system is analogue in that at no point a binary decision is made as to whether or not a P300 was actually produced in response to the stimuli. Instead, the 2-D motion of the pointer on the screen, using a novel BCI paradigm, is controlled by directly combining the amplitudes of the output produced by a filter in the presence of different stimuli. This filter and the features to be combined within it are optimised by an evolutionary algorithm.
引用
收藏
页码:51 / 61
页数:11
相关论文
共 32 条
  • [1] [Anonymous], FDN GENETIC ALGORITH
  • [2] [Anonymous], P RESNA ANN C RESNAP
  • [3] [Anonymous], [No title captured]
  • [4] [Anonymous], P 2 INT BCI WORKSH T
  • [5] Beverina F., 2003, PsychNology Journal, V1, P331
  • [6] The thought-translation device (TTD):: Neurobehavioral mechanisms and clinical outcome
    Birbaumer, N
    Hinterberger, T
    Kübler, A
    Neumann, N
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2003, 11 (02) : 120 - 123
  • [7] A spelling device for the paralysed
    Birbaumer, N
    Ghanayim, N
    Hinterberger, T
    Iversen, I
    Kotchoubey, B
    Kübler, A
    Perelmouter, J
    Taub, E
    Flor, H
    [J]. NATURE, 1999, 398 (6725) : 297 - 298
  • [8] CITI L, 2004, BIOMED TECH, V49, P41
  • [9] On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces
    Coyle, S
    Ward, T
    Markham, C
    McDarby, G
    [J]. PHYSIOLOGICAL MEASUREMENT, 2004, 25 (04) : 815 - 822
  • [10] Learning to control brain activity: A review of the production and control of EEG components for driving brain-computer interface (BCI) systems
    Curran, EA
    Stokes, MJ
    [J]. BRAIN AND COGNITION, 2003, 51 (03) : 326 - 336