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Results: 1 to 20 of 217

Similar articles for PubMed (Select 24094907)

1.

A comparison of recording modalities of P300 event-related potentials (ERP) for brain-computer interface (BCI) paradigm.

Mayaud L, Congedo M, Van Laghenhove A, Orlikowski D, Figère M, Azabou E, Cheliout-Heraut F.

Neurophysiol Clin. 2013 Oct;43(4):217-27. doi: 10.1016/j.neucli.2013.06.002. Epub 2013 Jul 18.

PMID:
24094907
2.

Performance of the Emotiv Epoc headset for P300-based applications.

Duvinage M, Castermans T, Petieau M, Hoellinger T, Cheron G, Dutoit T.

Biomed Eng Online. 2013 Jun 25;12:56. doi: 10.1186/1475-925X-12-56.

3.

Evaluation of feature extraction methods for EEG-based brain-computer interfaces in terms of robustness to slight changes in electrode locations.

Park SA, Hwang HJ, Lim JH, Choi JH, Jung HK, Im CH.

Med Biol Eng Comput. 2013 May;51(5):571-9. doi: 10.1007/s11517-012-1026-1. Epub 2013 Jan 17.

PMID:
23325145
4.

Comparison of sensor selection mechanisms for an ERP-based brain-computer interface.

Feess D, Krell MM, Metzen JH.

PLoS One. 2013 Jul 2;8(7):e67543. doi: 10.1371/journal.pone.0067543. Print 2013.

5.

P300 speller BCI with a mobile EEG system: comparison to a traditional amplifier.

De Vos M, Kroesen M, Emkes R, Debener S.

J Neural Eng. 2014 Jun;11(3):036008. doi: 10.1088/1741-2560/11/3/036008. Epub 2014 Apr 24.

PMID:
24763067
6.

Prediction of auditory and visual p300 brain-computer interface aptitude.

Halder S, Hammer EM, Kleih SC, Bogdan M, Rosenstiel W, Birbaumer N, Kübler A.

PLoS One. 2013;8(2):e53513. doi: 10.1371/journal.pone.0053513. Epub 2013 Feb 14.

7.

Comparison of dry and gel based electrodes for p300 brain-computer interfaces.

Guger C, Krausz G, Allison BZ, Edlinger G.

Front Neurosci. 2012 May 7;6:60. doi: 10.3389/fnins.2012.00060. eCollection 2012.

8.

P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls.

McCane LM, Heckman SM, McFarland DJ, Townsend G, Mak JN, Sellers EW, Zeitlin D, Tenteromano LM, Wolpaw JR, Vaughan TM.

Clin Neurophysiol. 2015 Feb 7. pii: S1388-2457(15)00067-X. doi: 10.1016/j.clinph.2015.01.013. [Epub ahead of print]

PMID:
25703940
9.
10.

Influence of P300 latency jitter on event related potential-based brain-computer interface performance.

Aricò P, Aloise F, Schettini F, Salinari S, Mattia D, Cincotti F.

J Neural Eng. 2014 Jun;11(3):035008. doi: 10.1088/1741-2560/11/3/035008. Epub 2014 May 19.

PMID:
24835331
11.

Applicability of the "Emotiv EEG Neuroheadset" as a user-friendly input interface.

Boutani H, Ohsuga M.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:1346-9. doi: 10.1109/EMBC.2013.6609758.

PMID:
24109945
12.

EEG correlates of P300-based brain-computer interface (BCI) performance in people with amyotrophic lateral sclerosis.

Mak JN, McFarland DJ, Vaughan TM, McCane LM, Tsui PZ, Zeitlin DJ, Sellers EW, Wolpaw JR.

J Neural Eng. 2012 Apr;9(2):026014. doi: 10.1088/1741-2560/9/2/026014. Epub 2012 Feb 21.

PMID:
22350501
13.

A vibrotactile p300-based brain-computer interface for consciousness detection and communication.

Lugo ZR, Rodriguez J, Lechner A, Ortner R, Gantner IS, Laureys S, Noirhomme Q, Guger C.

Clin EEG Neurosci. 2014 Jan;45(1):14-21. doi: 10.1177/1550059413505533. Epub 2014 Jan 10.

PMID:
24415400
14.

A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systems.

Speier W, Deshpande A, Pouratian N.

Clin Neurophysiol. 2015 Jun;126(6):1171-7. doi: 10.1016/j.clinph.2014.09.021. Epub 2014 Sep 28.

PMID:
25316166
15.

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
16.

A robust sensor-selection method for P300 brain-computer interfaces.

Cecotti H, Rivet B, Congedo M, Jutten C, Bertrand O, Maby E, Mattout J.

J Neural Eng. 2011 Feb;8(1):016001. doi: 10.1088/1741-2560/8/1/016001. Epub 2011 Jan 19.

PMID:
21245524
17.

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
18.

Toward a high-throughput auditory P300-based brain-computer interface.

Klobassa DS, Vaughan TM, Brunner P, Schwartz NE, Wolpaw JR, Neuper C, Sellers EW.

Clin Neurophysiol. 2009 Jul;120(7):1252-61. doi: 10.1016/j.clinph.2009.04.019. Epub 2009 Jul 1.

19.

A case study on the relation between electroencephalographic and electrocorticographic event-related potentials.

Krusienski DJ, Shih JJ.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:6019-22. doi: 10.1109/IEMBS.2010.5627603.

PMID:
21097114
20.

A multi-signature brain-computer interface: use of transient and steady-state responses.

Severens M, Farquhar J, Duysens J, Desain P.

J Neural Eng. 2013 Apr;10(2):026005. doi: 10.1088/1741-2560/10/2/026005. Epub 2013 Feb 1.

PMID:
23370146
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