Current trends in hardware and software for brain-computer interfaces (BCIs)

被引:76
作者
Brunner, P. [1 ,2 ,3 ]
Bianchi, L. [4 ,9 ]
Guger, C. [5 ]
Cincotti, F. [4 ,9 ]
Schalk, G. [1 ,3 ,6 ,7 ,8 ]
机构
[1] Wadsworth Ctr, NYS Dept Hlth, BCI Res & Dev Program, Albany, NY USA
[2] Graz Univ Technol, Inst Comp Graph & Vis, A-8010 Graz, Austria
[3] Albany Med Coll, Dept Neurol, Albany, NY 12208 USA
[4] IRCCS, Fdn Santa Lucia, Lab Imag Neuroel, Rome, Italy
[5] G Tec Med Engn GmbH, Graz, Austria
[6] Washington Univ, Dept Neurosurg, St Louis, MO USA
[7] SUNY Albany, Dept Biomed Sci, Albany, NY USA
[8] Rensselaer Polytech Inst, Dept Biomed Engn, Troy, NY 12180 USA
[9] IRCCS, Fdn Santa Lucia, BCI, Rome, Italy
关键词
OF-THE-ART; REAL-TIME; CORTICAL CONTROL; NEUROFEEDBACK; SYSTEM; COMMUNICATION; TECHNOLOGY; FREQUENCY; WORKSHOP; DESIGN;
D O I
10.1088/1741-2560/8/2/025001
中图分类号
R318 [生物医学工程];
学科分类号
100103 [病原生物学];
摘要
A brain-computer interface (BCI) provides a non-muscular communication channel to people with and without disabilities. BCI devices consist of hardware and software. BCI hardware records signals from the brain, either invasively or non-invasively, using a series of device components. BCI software then translates these signals into device output commands and provides feedback. One may categorize different types of BCI applications into the following four categories: basic research, clinical/translational research, consumer products, and emerging applications. These four categories use BCI hardware and software, but have different sets of requirements. For example, while basic research needs to explore a wide range of system configurations, and thus requires a wide range of hardware and software capabilities, applications in the other three categories may be designed for relatively narrow purposes and thus may only need a very limited subset of capabilities. This paper summarizes technical aspects for each of these four categories of BCI applications. The results indicate that BCI technology is in transition from isolated demonstrations to systematic research and commercial development. This process requires several multidisciplinary efforts, including the development of better integrated and more robust BCI hardware and software, the definition of standardized interfaces, and the development of certification, dissemination and reimbursement procedures.
引用
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页数:7
相关论文
共 90 条
[1]
ALLISON B, 2007, ACE WORKSH BRAINPL B
[2]
Toward a hybrid brain-computer interface based on imagined movement and visual attention [J].
Allison, B. Z. ;
Brunner, C. ;
Kaiser, V. ;
Mueller-Putz, G. R. ;
Neuper, C. ;
Pfurtscheller, G. .
JOURNAL OF NEURAL ENGINEERING, 2010, 7 (02)
[3]
Ang KK, 2010, IEEE ENG MED BIO, P5549, DOI 10.1109/IEMBS.2010.5626782
[4]
EEG neurofeedback: A brief overview and an example of peak alpha frequency training for cognitive enhancement in the elderly [J].
Angelakis, Efthymios ;
Stathopoulou, Stamatina ;
Frymiare, Jennifer L. ;
Green, Deborah L. ;
Lubar, Joel F. ;
Kounios, John .
CLINICAL NEUROPSYCHOLOGIST, 2007, 21 (01) :110-129
[6]
[Anonymous], 2008, WORKSH BCI COMP GAM
[7]
[Anonymous], TRCTIT0881 U TWENT E
[8]
BAERNREUTHER B, 2010, 4 INT BCI M AS CA JU
[9]
Covert attention allows for continuous control of brain-computer interfaces [J].
Bahramisharif, Ali ;
van Gerven, Marcel ;
Heskes, Tom ;
Jensen, Ole .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2010, 31 (08) :1501-1508
[10]
Electroencephalogram in humans [J].
Berger, H .
ARCHIV FUR PSYCHIATRIE UND NERVENKRANKHEITEN, 1929, 87 :527-570