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Items: 1 to 20 of 116

1.

SNR analysis of high-frequency steady-state visual evoked potentials from the foveal and extrafoveal regions of human retina.

Lin FC, Zao JK, Tu KC, Wang Y, Huang YP, Chuang CW, Kuo HY, Chien YY, Chou CC, Jung TP.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1810-4. doi: 10.1109/EMBC.2012.6346302.

PMID:
23366263
2.

Habituation of steady-state visual evoked potentials in response to high-frequency polychromatic foveal visual stimulation.

Kuo HY, Chiu GC, Zao JK, Lai KL, Gruber A, Chien YY, Chou CC, Lu CK, Liu WH, Huang YS, Yang AC, Wang Y, Lin FC, Huang YP, Wang SJ, Jung TP.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:803-6. doi: 10.1109/EMBC.2013.6609622.

PMID:
24109809
3.

Use of high-frequency visual stimuli above the critical flicker frequency in a SSVEP-based BMI.

Sakurada T, Kawase T, Komatsu T, Kansaku K.

Clin Neurophysiol. 2015 Oct;126(10):1972-8. doi: 10.1016/j.clinph.2014.12.010. Epub 2014 Dec 23.

PMID:
25577407
4.

Foveal xenon flash disruption of steady-state visual evoked potentials.

Schmeisser ET.

Am J Optom Physiol Opt. 1984 May;61(5):304-9.

PMID:
6731579
5.

An SSVEP-based BCI using high duty-cycle visual flicker.

Lee PL, Yeh CL, Cheng JY, Yang CY, Lan GY.

IEEE Trans Biomed Eng. 2011 Dec;58(12):3350-9. doi: 10.1109/TBME.2011.2162586. Epub 2011 Jul 22.

PMID:
21788179
6.

Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing.

Wu CH, Chang HC, Lee PL, Li KS, Sie JJ, Sun CW, Yang CY, Li PH, Deng HT, Shyu KK.

J Neurosci Methods. 2011 Mar 15;196(1):170-81. doi: 10.1016/j.jneumeth.2010.12.014. Epub 2010 Dec 29.

PMID:
21194547
7.

Frequency-modulated steady-state visual evoked potentials: a new stimulation method for brain-computer interfaces.

Dreyer AM, Herrmann CS.

J Neurosci Methods. 2015 Feb 15;241:1-9. doi: 10.1016/j.jneumeth.2014.12.004. Epub 2014 Dec 15.

PMID:
25522824
8.

Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.

Cao T, Wan F, Wong CM, da Cruz JN, Hu Y.

Biomed Eng Online. 2014 Mar 12;13(1):28. doi: 10.1186/1475-925X-13-28.

9.

Independence of amplitude-frequency and phase calibrations in an SSVEP-based BCI using stepping delay flickering sequences.

Chang HC, Lee PL, Lo MT, Lee IH, Yeh TK, Chang CY.

IEEE Trans Neural Syst Rehabil Eng. 2012 May;20(3):305-12. doi: 10.1109/TNSRE.2011.2180925. Epub 2011 Dec 23.

PMID:
22203724
10.

SSVEP-based brain-computer interfaces using FSK-modulated visual stimuli.

Kimura Y, Tanaka T, Higashi H, Morikawa N.

IEEE Trans Biomed Eng. 2013 Oct;60(10):2831-8. doi: 10.1109/TBME.2013.2265260. Epub 2013 May 30.

PMID:
23739780
11.

Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain-computer interface.

Diez PF, Torres Müller SM, Mut VA, Laciar E, Avila E, Bastos-Filho TF, Sarcinelli-Filho M.

Med Eng Phys. 2013 Aug;35(8):1155-64. doi: 10.1016/j.medengphy.2012.12.005. Epub 2013 Jan 20.

PMID:
23339894
12.

A user-friendly SSVEP-based brain-computer interface using a time-domain classifier.

Luo A, Sullivan TJ.

J Neural Eng. 2010 Apr;7(2):26010. doi: 10.1088/1741-2560/7/2/026010. Epub 2010 Mar 23.

PMID:
20332551
13.
14.

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
15.

Emotional faces boost up steady-state visual responses for brain-computer interface.

Bakardjian H, Tanaka T, Cichocki A.

Neuroreport. 2011 Feb 16;22(3):121-5. doi: 10.1097/WNR.0b013e32834308b0.

PMID:
21178643
16.

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
17.

BCI demographics II: how many (and what kinds of) people can use a high-frequency SSVEP BCI?

Volosyak I, Valbuena D, Lüth T, Malechka T, Gräser A.

IEEE Trans Neural Syst Rehabil Eng. 2011 Jun;19(3):232-9. doi: 10.1109/TNSRE.2011.2121919. Epub 2011 Mar 17.

PMID:
21421448
18.

Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs.

Lin Z, Zhang C, Wu W, Gao X.

IEEE Trans Biomed Eng. 2007 Jun;54(6 Pt 2):1172-6.

PMID:
17549911
19.
20.

Effect of competing stimuli on SSVEP-based BCI.

Ng KB, Bradley AP, Cunnington R.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6307-10. doi: 10.1109/IEMBS.2011.6091556.

PMID:
22255780
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