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Items: 1 to 20 of 77

1.

Robustness of mutual information to inter-subject variability for automatic artefact removal from EEG.

Nicolaou N, Nasuto SJ.

Conf Proc IEEE Eng Med Biol Soc. 2005;6:5991-4.

PMID:
17281626
2.

Multi-class motor imagery EEG decoding for brain-computer interfaces.

Wang D, Miao D, Blohm G.

Front Neurosci. 2012 Oct 9;6:151. doi: 10.3389/fnins.2012.00151. eCollection 2012.

3.

Automatic detection of EEG artefacts arising from head movements.

O' Regan S, Faul S, Marnane W.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:6353-6. doi: 10.1109/IEMBS.2010.5627282.

PMID:
21096691
4.

Automatic removal of high-amplitude artefacts from single-channel electroencephalograms.

Teixeira AR, Tomé AM, Lang EW, Gruber P, Martins da Silva A.

Comput Methods Programs Biomed. 2006 Aug;83(2):125-38. Epub 2006 Jul 31.

PMID:
16876903
5.

A prior neurophysiologic knowledge free tensor-based scheme for single trial EEG classification.

Li J, Zhang L, Tao D, Sun H, Zhao Q.

IEEE Trans Neural Syst Rehabil Eng. 2009 Apr;17(2):107-15. doi: 10.1109/TNSRE.2008.2008394. Epub 2008 Nov 21.

PMID:
19273039
6.

A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements.

Melissant C, Ypma A, Frietman EE, Stam CJ.

Artif Intell Med. 2005 Mar;33(3):209-22.

PMID:
15811786
7.

Automatic removal of eye-movement and blink artifacts from EEG signals.

Gao JF, Yang Y, Lin P, Wang P, Zheng CX.

Brain Topogr. 2010 Mar;23(1):105-14. doi: 10.1007/s10548-009-0131-4. Epub 2009 Dec 29.

PMID:
20039116
8.

Fuzzy support vector machine for classification of EEG signals using wavelet-based features.

Xu Q, Zhou H, Wang Y, Huang J.

Med Eng Phys. 2009 Sep;31(7):858-65. doi: 10.1016/j.medengphy.2009.04.005. Epub 2009 May 31.

PMID:
19487151
9.

Multimodal detection of head-movement artefacts in EEG.

O'Regan S, Marnane W.

J Neurosci Methods. 2013 Aug 15;218(1):110-20. doi: 10.1016/j.jneumeth.2013.04.017. Epub 2013 May 16.

PMID:
23685269
10.

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
11.

Salient EEG channel selection in brain computer interfaces by mutual information maximization.

Lan T, Erdogmus D, Adami A, Pavel M, Mathan S.

Conf Proc IEEE Eng Med Biol Soc. 2005;7:7064-7.

PMID:
17281902
12.

Automatic artifact removal from EEG - a mixed approach based on double blind source separation and support vector machine.

Bartels G, Shi LC, Lu BL.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5383-6. doi: 10.1109/IEMBS.2010.5626481.

PMID:
21096265
13.

Novel artefact removal algorithms for co-registered EEG/fMRI based on selective averaging and subtraction.

de Munck JC, van Houdt PJ, Gonçalves SI, van Wegen E, Ossenblok PP.

Neuroimage. 2013 Jan 1;64:407-15. doi: 10.1016/j.neuroimage.2012.09.022. Epub 2012 Sep 17.

PMID:
22995780
14.

Automatic EEG artifact removal: a weighted support vector machine approach with error correction.

Shao SY, Shen KQ, Ong CJ, Wilder-Smith EP, Li XP.

IEEE Trans Biomed Eng. 2009 Feb;56(2):336-44. doi: 10.1109/TBME.2008.2005969. Epub 2008 Oct 3.

PMID:
19272915
15.

Noise reduction in brainwaves by using both EEG signals and frontal viewing camera images.

Bang JW, Choi JS, Park KR.

Sensors (Basel). 2013 May 13;13(5):6272-94. doi: 10.3390/s130506272.

16.

Automatic recognition of inter-ictal epileptic activity in prolonged EEG recordings.

Gotman J, Ives JR, Gloor P.

Electroencephalogr Clin Neurophysiol. 1979 May;46(5):510-20.

PMID:
88339
17.

Classification of Wrist Movements using EEG-based Wavelets Features.

Lakany H, Conway BA.

Conf Proc IEEE Eng Med Biol Soc. 2005;5:5404-7.

PMID:
17281474
18.

Assessment of artefact suppression by ICA and spatial filtering on reduced sets of EEG signals.

Divjak M, Zazula D, Holobar A.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:4422-5. doi: 10.1109/IEMBS.2011.6091097.

PMID:
22255320
19.

ICA-based muscle artefact correction of EEG data: what is muscle and what is brain? Comment on McMenamin et al.

Olbrich S, Jödicke J, Sander C, Himmerich H, Hegerl U.

Neuroimage. 2011 Jan 1;54(1):1-3; discussion 4-9. doi: 10.1016/j.neuroimage.2010.04.256. Epub 2010 May 2.

PMID:
20441799
20.

An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation.

Tonin L, Leeb R, Sobolewski A, Millán Jdel R.

J Neural Eng. 2013 Oct;10(5):056007. doi: 10.1088/1741-2560/10/5/056007. Epub 2013 Aug 5.

PMID:
23918205

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