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brain-computer interfaces
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2023
Vansteensel MJ
,
Klein E
,
van Thiel G
,
Gaytant M
,
Simmons Z
,
Wolpaw JR
, et al.
.
Towards clinical application of implantable brain-computer interfaces for people with late-stage ALS: medical and ethical considerations.
J Neurol. 2023;270(3):1323-1336.
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2021
Norton JJS
,
DiRisio GF
,
Carp JS
,
Norton AE
,
Kochan NS
,
Wolpaw JR
.
Brain-computer interface-based assessment of color vision.
J Neural Eng. 2021;18(6).
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Habibzadeh H
,
Norton JJS
,
Vaughan TM
,
Soyata T
,
Zois D-S
.
A Voting-Enhanced Dynamic-Window-Length Classifier for SSVEP-Based BCIs.
IEEE Trans Neural Syst Rehabil Eng. 2021;29:1766-1773.
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2020
Borgheai SBahram
,
McLinden J
,
Zisk AHillary
,
Hosni SIsmail
,
Deligani RJafari
,
Abtahi M
, et al.
.
Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System.
IEEE Trans Neural Syst Rehabil Eng. 2020;28(5):1198-1207.
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2016
Gunduz A
,
Brunner P
,
Sharma M
,
Leuthardt EC
,
Ritaccio AL
,
Pesaran B
, et al.
.
Differential roles of high gamma and local motor potentials for movement preparation and execution
. Brain-Computer Interfaces. 2016;3(2):88-102.
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Differential roles of high gamma and local motor potentials for movement preparation and execution.pdf
(1.31 MB)
2015
Kübler A
,
Holz EMira
,
Sellers EW
,
Vaughan TM
.
Toward independent home use of brain-computer interfaces: a decision algorithm for selection of potential end-users.
Arch Phys Med Rehabil [Internet]. 2015;96(3 Suppl):S27-32.
http://www.ncbi.nlm.nih.gov/pubmed/25721544
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Toward independent home use of brain-computer interfaces a decision algorithm for selection of potential end-users.pdf
(457.85 KB)
2014
Lu J
,
Xie K
,
McFarland DJ
.
Adaptive spatio-temporal filtering for movement related potentials in EEG-based brain-computer interfaces.
IEEE Trans Neural Syst Rehabil Eng [Internet]. 2014;22(4):847-57.
http://www.ncbi.nlm.nih.gov/pubmed/24723632
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Adaptive spatio-temporal filtering for movement related potentials in EEG-based brain-computer interfaces.pdf
(1.81 MB)
McCane LM
,
Sellers EW
,
McFarland DJ
,
Mak JN
,
C Carmack S
,
Zeitlin D
, et al.
.
Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis.
Amyotroph Lateral Scler Frontotemporal Degener [Internet]. 2014;15(3-4):207-15.
http://www.ncbi.nlm.nih.gov/pubmed/24555843
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Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis.pdf
(1.22 MB)
Jeremy Jeremy Hill
,
Ricci E
,
Haider S
,
McCane LM
,
Heckman SM
,
Wolpaw J
,
Vaughan TM
.
A practical, intuitive brain-computer interface for communicating 'yes' or 'no' by listening.
J Neural Eng [Internet]. 2014;11(3):035003.
http://www.ncbi.nlm.nih.gov/pubmed/24838278
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A practical, intuitive brain-computer interface for communicating 'yes' or 'no' by listening.pdf
(807.65 KB)
2012
Wolpaw J
,
Winter-Wolpaw E
,
Schalk G
.
BCIs That Use Electrocorticographic Activity.
In Brain-Computer Interfaces: Principles and Practice [Internet]. Oxford University Press; 2012.
http://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780195388855.001.0001/acprof-9780195388855-chapter-015
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Anderson NR
,
Blakely T
,
Schalk G
,
Leuthardt EC
,
Moran DW
.
Electrocorticographic (ECoG) Correlates of Human Arm Movements.
Exp Brain Res [Internet]. 2012;223(1):1-10.
http://www.ncbi.nlm.nih.gov/pubmed/23001369
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Electrocorticographic (ECoG) Correlates of Human Arm Movements. .pdf
(534.63 KB)
2007
Hinterberger T
,
Nijboer F
,
Kübler A
,
Matuz T
,
Furdea A
,
Mochty U
, et al.
.
Brain Computer Interfaces for Communication in Paralysis: a Clinical-Experimental Approach.
In [Internet]. Virtual Library of Psychology at Saarland University and State Library, GERMANY, PsyDok [http://psydok.sulb.uni-saarland.de/phpoai/oai2.php] (Germany); 2007.
http://psydok.sulb.uni-saarland.de/volltexte/2008/2154/
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Brain computer interfaces for communication in paralysis a clinical-experimental approach.pdf
(765.58 KB)
2004
Wolpaw J
.
Brain-computer interfaces (BCIs) for communication and control: a mini-review.
Supplements to Clinical neurophysiology [Internet]. 2004;57:607–613.
http://www.ncbi.nlm.nih.gov/pubmed/16106662
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Brain-computer interfaces (BCIs) for communication and control a mini-review.pdf
(204.29 KB)
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