Brain-computer interface systems: progress and prospects. Allison, B. Z., Wolpaw, Winter, E., & Wolpaw, J. R. Expert Review of Medical Devices, 4(4):463--474, July, 2007. doi abstract bibtex Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review discusses the structure and functions of BCI systems, clarifies terminology and addresses practical applications. Progress and opportunities in the field are also identified and explicated.
@article{ allison_brain-computer_2007,
title = {Brain-computer interface systems: progress and prospects},
volume = {4},
issn = {1743-4440},
shorttitle = {Brain-computer interface systems},
doi = {10.1586/17434440.4.4.463},
abstract = {Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review discusses the structure and functions of BCI systems, clarifies terminology and addresses practical applications. Progress and opportunities in the field are also identified and explicated.},
language = {eng},
number = {4},
journal = {Expert Review of Medical Devices},
author = {Allison, Brendan Z. and Wolpaw, Elizabeth Winter and Wolpaw, Jonathan R.},
month = {July},
year = {2007},
pmid = {17605682},
keywords = {Body Mass Index, Brain, Computers, Disabled Persons, Equipment Design, Evoked Potentials, Visual, Humans, User-Computer Interface, electroencephalography},
pages = {463--474}
}
Downloads: 0
{"_id":"DMQXXrFtF9o7aEkna","bibbaseid":"allison-wolpaw-winter-wolpaw-braincomputerinterfacesystemsprogressandprospects-2007","downloads":0,"creationDate":"2015-05-22T12:45:40.346Z","title":"Brain-computer interface systems: progress and prospects","author_short":["Allison, B.<nbsp>Z.","Wolpaw","Winter, E.","Wolpaw, J.<nbsp>R."],"year":2007,"bibtype":"article","biburl":"https://api.zotero.org/groups/275747/items?key=7jkwnid2kzYLWZVQEl7AXBeJ&format=bibtex&limit=100","bibdata":{"abstract":"Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review discusses the structure and functions of BCI systems, clarifies terminology and addresses practical applications. Progress and opportunities in the field are also identified and explicated.","author":["Allison, Brendan Z.","Wolpaw","Winter, Elizabeth","Wolpaw, Jonathan R."],"author_short":["Allison, B.<nbsp>Z.","Wolpaw","Winter, E.","Wolpaw, J.<nbsp>R."],"bibtex":"@article{ allison_brain-computer_2007,\n title = {Brain-computer interface systems: progress and prospects},\n volume = {4},\n issn = {1743-4440},\n shorttitle = {Brain-computer interface systems},\n doi = {10.1586/17434440.4.4.463},\n abstract = {Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review discusses the structure and functions of BCI systems, clarifies terminology and addresses practical applications. Progress and opportunities in the field are also identified and explicated.},\n language = {eng},\n number = {4},\n journal = {Expert Review of Medical Devices},\n author = {Allison, Brendan Z. and Wolpaw, Elizabeth Winter and Wolpaw, Jonathan R.},\n month = {July},\n year = {2007},\n pmid = {17605682},\n keywords = {Body Mass Index, Brain, Computers, Disabled Persons, Equipment Design, Evoked Potentials, Visual, Humans, User-Computer Interface, electroencephalography},\n pages = {463--474}\n}","bibtype":"article","doi":"10.1586/17434440.4.4.463","id":"allison_brain-computer_2007","issn":"1743-4440","journal":"Expert Review of Medical Devices","key":"allison_brain-computer_2007","keywords":"Body Mass Index, Brain, Computers, Disabled Persons, Equipment Design, Evoked Potentials, Visual, Humans, User-Computer Interface, electroencephalography","language":"eng","month":"July","number":"4","pages":"463--474","pmid":"17605682","shorttitle":"Brain-computer interface systems","title":"Brain-computer interface systems: progress and prospects","type":"article","volume":"4","year":"2007","bibbaseid":"allison-wolpaw-winter-wolpaw-braincomputerinterfacesystemsprogressandprospects-2007","role":"author","urls":{},"keyword":["Body Mass Index","Brain","Computers","Disabled Persons","Equipment Design","Evoked Potentials","Visual","Humans","User-Computer Interface","electroencephalography"],"downloads":0},"search_terms":["brain","computer","interface","systems","progress","prospects","allison","wolpaw","winter","wolpaw"],"keywords":["body mass index","brain","computers","disabled persons","equipment design","evoked potentials","visual","humans","user-computer interface","electroencephalography"],"authorIDs":[],"dataSources":["rtXs75rX9RQkNkaEi"]}