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Similar articles for PubMed (Select 18394526)

1.

Non-invasive brain-computer interface system: towards its application as assistive technology.

Cincotti F, Mattia D, Aloise F, Bufalari S, Schalk G, Oriolo G, Cherubini A, Marciani MG, Babiloni F.

Brain Res Bull. 2008 Apr 15;75(6):796-803. doi: 10.1016/j.brainresbull.2008.01.007. Epub 2008 Feb 4.

2.

Non-invasive brain-computer interface system to operate assistive devices.

Cincotti F, Aloise F, Bufalari S, Schalk G, Oriolo G, Cherubini A, Davide F, Babiloni F, Marciani MG, Mattia D.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:2532-5.

PMID:
18002510
3.

Brain-computer interfaces for communication and control.

Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM.

Clin Neurophysiol. 2002 Jun;113(6):767-91. Review.

PMID:
12048038
4.

Hybrid P300-based brain-computer interface to improve usability for people with severe motor disability: electromyographic signals for error correction during a spelling task.

Riccio A, Holz EM, Aricò P, Leotta F, Aloise F, Desideri L, Rimondini M, Kübler A, Mattia D, Cincotti F.

Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S54-61. doi: 10.1016/j.apmr.2014.05.029.

PMID:
25721548
5.

Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

Kübler A, Nijboer F, Mellinger J, Vaughan TM, Pawelzik H, Schalk G, McFarland DJ, Birbaumer N, Wolpaw JR.

Neurology. 2005 May 24;64(10):1775-7.

PMID:
15911809
6.

Brain-computer interface technology: a review of the Second International Meeting.

Vaughan TM, Heetderks WJ, Trejo LJ, Rymer WZ, Weinrich M, Moore MM, Kübler A, Dobkin BH, Birbaumer N, Donchin E, Wolpaw EW, Wolpaw JR.

IEEE Trans Neural Syst Rehabil Eng. 2003 Jun;11(2):94-109.

PMID:
12899247
7.

Assistive device with conventional, alternative, and brain-computer interface inputs to enhance interaction with the environment for people with amyotrophic lateral sclerosis: a feasibility and usability study.

Schettini F, Riccio A, Simione L, Liberati G, Caruso M, Frasca V, Calabrese B, Mecella M, Pizzimenti A, Inghilleri M, Mattia D, Cincotti F.

Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S46-53. doi: 10.1016/j.apmr.2014.05.027.

PMID:
25721547
8.

The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.

Blankertz B, Dornhege G, Krauledat M, Müller KR, Curio G.

Neuroimage. 2007 Aug 15;37(2):539-50. Epub 2007 Mar 1.

PMID:
17475513
9.

Transferring brain-computer interfaces beyond the laboratory: successful application control for motor-disabled users.

Leeb R, Perdikis S, Tonin L, Biasiucci A, Tavella M, Creatura M, Molina A, Al-Khodairy A, Carlson T, Millán JD.

Artif Intell Med. 2013 Oct;59(2):121-32. doi: 10.1016/j.artmed.2013.08.004. Epub 2013 Sep 13.

PMID:
24119870
10.

Emulation of computer mouse control with a noninvasive brain-computer interface.

McFarland DJ, Krusienski DJ, Sarnacki WA, Wolpaw JR.

J Neural Eng. 2008 Jun;5(2):101-10. doi: 10.1088/1741-2560/5/2/001. Epub 2008 Mar 5.

11.

High-resolution EEG techniques for brain-computer interface applications.

Cincotti F, Mattia D, Aloise F, Bufalari S, Astolfi L, De Vico Fallani F, Tocci A, Bianchi L, Marciani MG, Gao S, Millan J, Babiloni F.

J Neurosci Methods. 2008 Jan 15;167(1):31-42. Epub 2007 Jul 10.

PMID:
17706292
12.

Brain-computer interface: changes in performance using virtual reality techniques.

Ron-Angevin R, Díaz-Estrella A.

Neurosci Lett. 2009 Jan 9;449(2):123-7. doi: 10.1016/j.neulet.2008.10.099. Epub 2008 Nov 5.

PMID:
19000739
13.

Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution.

Höhne J, Holz E, Staiger-Sälzer P, Müller KR, Kübler A, Tangermann M.

PLoS One. 2014 Aug 27;9(8):e104854. doi: 10.1371/journal.pone.0104854. eCollection 2014.

14.

A brain-computer interface as input channel for a standard assistive technology software.

Zickler C, Riccio A, Leotta F, Hillian-Tress S, Halder S, Holz E, Staiger-Sälzer P, Hoogerwerf EJ, Desideri L, Mattia D, Kübler A.

Clin EEG Neurosci. 2011 Oct;42(4):236-44.

PMID:
22208121
15.

Vision based interface system for hands free control of an Intelligent Wheelchair.

Ju JS, Shin Y, Kim EY.

J Neuroeng Rehabil. 2009 Aug 6;6:33. doi: 10.1186/1743-0003-6-33.

16.

Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Wolpaw JR, McFarland DJ.

Proc Natl Acad Sci U S A. 2004 Dec 21;101(51):17849-54. Epub 2004 Dec 7.

17.

Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy.

Hashimoto Y, Ushiba J, Kimura A, Liu M, Tomita Y.

BMC Neurosci. 2010 Sep 16;11:117. doi: 10.1186/1471-2202-11-117.

18.

Spelling with non-invasive Brain-Computer Interfaces--current and future trends.

Cecotti H.

J Physiol Paris. 2011 Jan-Jun;105(1-3):106-14. doi: 10.1016/j.jphysparis.2011.08.003. Epub 2011 Sep 3. Review.

PMID:
21911058
19.

Brain-computer interfaces as new brain output pathways.

Wolpaw JR.

J Physiol. 2007 Mar 15;579(Pt 3):613-9. Epub 2007 Jan 25. Review.

20.

Can brain computer interfaces become practical assistive devices in the community?

McCullagh P, Ware M, Mulvenna M, Lightbody G, Nugent C, McAllister G, Thomson E, Martin S, Mathews S, Todd D, Cruz Medina V, Carro S.

Stud Health Technol Inform. 2010;160(Pt 1):314-8.

PMID:
20841700
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