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Items: 1 to 20 of 241

1.

A speedy hybrid BCI spelling approach combining P300 and SSVEP.

Yin E, Zhou Z, Jiang J, Chen F, Liu Y, Hu D.

IEEE Trans Biomed Eng. 2014 Feb;61(2):473-83.

PMID:
24058009
2.

A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm.

Yin E, Zhou Z, Jiang J, Chen F, Liu Y, Hu D.

J Neural Eng. 2013 Apr;10(2):026012. doi: 10.1088/1741-2560/10/2/026012. Epub 2013 Feb 21.

PMID:
23429035
3.

A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature.

Xu M, Qi H, Wan B, Yin T, Liu Z, Ming D.

J Neural Eng. 2013 Apr;10(2):026001. doi: 10.1088/1741-2560/10/2/026001. Epub 2013 Jan 31.

PMID:
23369924
4.

An asynchronous P300 BCI with SSVEP-based control state detection.

Panicker RC, Puthusserypady S, Sun Y.

IEEE Trans Biomed Eng. 2011 Jun;58(6):1781-8. doi: 10.1109/TBME.2011.2116018. Epub 2011 Feb 17.

PMID:
21335304
5.

A new hybrid BCI paradigm based on P300 and SSVEP.

Wang M, Daly I, Allison BZ, Jin J, Zhang Y, Chen L, Wang X.

J Neurosci Methods. 2015 Apr 15;244:16-25. doi: 10.1016/j.jneumeth.2014.06.003. Epub 2014 Jul 2.

PMID:
24997343
6.

A hybrid BCI system combining P300 and SSVEP and its application to wheelchair control.

Li Y, Pan J, Wang F, Yu Z.

IEEE Trans Biomed Eng. 2013 Nov;60(11):3156-66. doi: 10.1109/TBME.2013.2270283. Epub 2013 Jun 20.

PMID:
23799679
7.

A comparison of three brain-computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals.

Brunner C, Allison BZ, Altstätter C, Neuper C.

J Neural Eng. 2011 Apr;8(2):025010. doi: 10.1088/1741-2560/8/2/025010. Epub 2011 Mar 24.

PMID:
21436538
8.

Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.

Mainsah BO, Collins LM, Colwell KA, Sellers EW, Ryan DB, Caves K, Throckmorton CS.

J Neural Eng. 2015 Feb;12(1):016013. doi: 10.1088/1741-2560/12/1/016013. Epub 2015 Jan 14.

9.

Hybrid frequency and phase coding for a high-speed SSVEP-based BCI speller.

Chen X, Wang Y, Nakanishi M, Jung TP, Gao X.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:3993-6. doi: 10.1109/EMBC.2014.6944499.

PMID:
25570867
10.

A portable auditory P300 brain-computer interface with directional cues.

Käthner I, Ruf CA, Pasqualotto E, Braun C, Birbaumer N, Halder S.

Clin Neurophysiol. 2013 Feb;124(2):327-38. doi: 10.1016/j.clinph.2012.08.006. Epub 2012 Sep 7.

PMID:
22959257
11.

Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard.

Hwang HJ, Lim JH, Jung YJ, Choi H, Lee SW, Im CH.

J Neurosci Methods. 2012 Jun 30;208(1):59-65. doi: 10.1016/j.jneumeth.2012.04.011. Epub 2012 May 3.

PMID:
22580222
12.

A P300-based brain computer interface system for words typing.

Akram F, Han HS, Kim TS.

Comput Biol Med. 2014 Feb;45:118-25. doi: 10.1016/j.compbiomed.2013.12.001. Epub 2013 Dec 17.

PMID:
24480171
13.

A high-speed brain speller using steady-state visual evoked potentials.

Nakanishi M, Wang Y, Wang YT, Mitsukura Y, Jung TP.

Int J Neural Syst. 2014 Sep;24(6):1450019. doi: 10.1142/S0129065714500191. Epub 2014 Jun 12.

PMID:
25081427
14.

Beyond maximum speed--a novel two-stimulus paradigm for brain-computer interfaces based on event-related potentials (P300-BCI).

Kaufmann T, Kübler A.

J Neural Eng. 2014 Oct;11(5):056004. doi: 10.1088/1741-2560/11/5/056004. Epub 2014 Jul 31.

PMID:
25080406
15.

A visual parallel-BCI speller based on the time-frequency coding strategy.

Xu M, Chen L, Zhang L, Qi H, Ma L, Tang J, Wan B, Ming D.

J Neural Eng. 2014 Apr;11(2):026014. doi: 10.1088/1741-2560/11/2/026014. Epub 2014 Mar 10.

PMID:
24608672
16.

A new dual-frequency stimulation method to increase the number of visual stimuli for multi-class SSVEP-based brain-computer interface (BCI).

Hwang HJ, Hwan Kim D, Han CH, Im CH.

Brain Res. 2013 Jun 17;1515:66-77. doi: 10.1016/j.brainres.2013.03.050. Epub 2013 Apr 13.

PMID:
23587933
17.

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
18.

How many people are able to control a P300-based brain-computer interface (BCI)?

Guger C, Daban S, Sellers E, Holzner C, Krausz G, Carabalona R, Gramatica F, Edlinger G.

Neurosci Lett. 2009 Oct 2;462(1):94-8. doi: 10.1016/j.neulet.2009.06.045. Epub 2009 Jun 21.

PMID:
19545601
19.

P300-based brain-neuronal computer interaction for spelling applications.

Postelnicu CC, Talaba D.

IEEE Trans Biomed Eng. 2013 Feb;60(2):534-43. doi: 10.1109/TBME.2012.2228645. Epub 2012 Nov 29.

PMID:
23204263
20.

Brain-computer interfaces using capacitive measurement of visual or auditory steady-state responses.

Baek HJ, Kim HS, Heo J, Lim YG, Park KS.

J Neural Eng. 2013 Apr;10(2):024001. doi: 10.1088/1741-2560/10/2/024001. Epub 2013 Feb 28.

PMID:
23448913
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