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Items: 1 to 20 of 101

1.

Illiteracy of Brain-Computer Interface.

Chung BS.

J Korean Med Sci. 2019 Nov 11;34(43):e281. doi: 10.3346/jkms.2019.34.e281. No abstract available.

2.

Comparison of steady-state visual and somatosensory evoked potentials for brain-computer interface control.

Smith DJ, Varghese LA, Stepp CE, Guenther FH.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:1234-7. doi: 10.1109/EMBC.2014.6943820.

PMID:
25570188
3.

Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game.

Leite HMA, de Carvalho SN, Costa TBDS, Attux R, Hornung HH, Arantes DS.

Comput Intell Neurosci. 2018 Apr 15;2018:4920132. doi: 10.1155/2018/4920132. eCollection 2018.

4.

Examining sensory ability, feature matching and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential.

Brumberg JS, Nguyen A, Pitt KM, Lorenz SD.

Disabil Rehabil Assist Technol. 2019 Apr;14(3):241-249. doi: 10.1080/17483107.2018.1428369. Epub 2018 Jan 31.

PMID:
29385839
5.

A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential.

Mohebbi A, Engelsholm SK, Puthusserypady S, Kjaer TW, Thomsen CE, Sorensen HB.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:602-5. doi: 10.1109/EMBC.2015.7318434.

PMID:
26736334
6.

Towards SSVEP-based, portable, responsive Brain-Computer Interface.

Kaczmarek P, Salomon P.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:1095-8. doi: 10.1109/EMBC.2015.7318556.

PMID:
26736456
7.

Immersive BCI with SSVEP in VR head-mounted display.

Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Seungjin Choi.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:1103-6. doi: 10.1109/EMBC.2015.7318558.

PMID:
26736458
8.

A Brain-Computer Interface (BCI) system to use arbitrary Windows applications by directly controlling mouse and keyboard.

Spuler M.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:1087-90. doi: 10.1109/EMBC.2015.7318554.

PMID:
26736454
9.

A comparison study of visually stimulated brain-computer and eye-tracking interfaces.

Suefusa K, Tanaka T.

J Neural Eng. 2017 Jun;14(3):036009. doi: 10.1088/1741-2552/aa6086. Epub 2017 Feb 15.

PMID:
28198356
10.

3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming.

Beveridge R, Wilson S, Coyle D.

Prog Brain Res. 2016;228:329-53. doi: 10.1016/bs.pbr.2016.06.006. Epub 2016 Jul 12.

PMID:
27590974
11.

An approach for brain-controlled prostheses based on Scene Graph Steady-State Visual Evoked Potentials.

Li R, Zhang X, Li H, Zhang L, Lu Z, Chen J.

Brain Res. 2018 Aug 1;1692:142-153. doi: 10.1016/j.brainres.2018.05.018. Epub 2018 May 16.

PMID:
29777674
12.

Online adaptation of a c-VEP Brain-computer Interface(BCI) based on error-related potentials and unsupervised learning.

Spüler M, Rosenstiel W, Bogdan M.

PLoS One. 2012;7(12):e51077. doi: 10.1371/journal.pone.0051077. Epub 2012 Dec 7.

13.

An online hybrid brain-computer interface combining multiple physiological signals for webpage browse.

Long Chen, Zhongpeng Wang, Feng He, Jiajia Yang, Hongzhi Qi, Peng Zhou, Baikun Wan, Dong Ming.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:1152-5. doi: 10.1109/EMBC.2015.7318570.

PMID:
26736470
14.

Performance Prediction for a Near-Infrared Spectroscopy-Brain-Computer Interface Using Resting-State Functional Connectivity of the Prefrontal Cortex.

Shin J, Im CH.

Int J Neural Syst. 2018 Dec;28(10):1850023. doi: 10.1142/S0129065718500235. Epub 2018 May 11.

PMID:
29914312
15.

An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate.

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

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:2176-9. doi: 10.1109/EMBC.2013.6609966.

PMID:
24110153
16.

Plug&Play Brain-Computer Interfaces for effective Active and Assisted Living control.

Mora N, De Munari I, Ciampolini P, Del R Millán J.

Med Biol Eng Comput. 2017 Aug;55(8):1339-1352. doi: 10.1007/s11517-016-1596-4. Epub 2016 Nov 17.

PMID:
27858227
17.

Brain-computer interfaces based on visual evoked potentials.

Wang Y, Gao X, Hong B, Jia C, Gao S.

IEEE Eng Med Biol Mag. 2008 Sep-Oct;27(5):64-71. doi: 10.1109/MEMB.2008.923958. Review. No abstract available.

PMID:
18799392
18.

[Experimental study on brain-computer interface based on visual evoked potentials].

He Q, Peng C, Wu B, Wang H.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2004 Feb;21(1):93-6. Chinese.

PMID:
15022474
19.

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
20.

Steady state visual evoked potential based brain-computer interface for cognitive assessment.

Westergren N, Bendtsen RL, Kjaer TW, Thomsen CE, Puthusserypady S, Sorensen HB.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1508-1511. doi: 10.1109/EMBC.2016.7590996.

PMID:
28268613

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