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Results: 1 to 20 of 379

Similar articles for PubMed (Select 18838360)

1.

Integration of amplitude and phase statistics for complete artifact removal in independent components of neuromagnetic recordings.

Dammers J, Schiek M, Boers F, Silex C, Zvyagintsev M, Pietrzyk U, Mathiak K.

IEEE Trans Biomed Eng. 2008 Oct;55(10):2353-62. doi: 10.1109/TBME.2008.926677.

PMID:
18838360
2.

An automatic identification and removal method for eye-blink artifacts in event-related magnetoencephalographic measurements.

Okada Y, Jung J, Kobayashi T.

Physiol Meas. 2007 Dec;28(12):1523-32. Epub 2007 Oct 31.

PMID:
18057516
3.

A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case.

Romero S, Mañanas MA, Barbanoj MJ.

Comput Biol Med. 2008 Mar;38(3):348-60. doi: 10.1016/j.compbiomed.2007.12.001. Epub 2008 Jan 28.

PMID:
18222418
4.

Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals.

Barbati G, Porcaro C, Zappasodi F, Rossini PM, Tecchio F.

Clin Neurophysiol. 2004 May;115(5):1220-32.

PMID:
15066548
5.

Magnetoencephalographic artifact identification and automatic removal based on independent component analysis and categorization approaches.

Rong F, Contreras-Vidal JL.

J Neurosci Methods. 2006 Oct 30;157(2):337-54. Epub 2006 Jun 13.

PMID:
16777232
6.

Semi-automatic identification of independent components representing EEG artifact.

Viola FC, Thorne J, Edmonds B, Schneider T, Eichele T, Debener S.

Clin Neurophysiol. 2009 May;120(5):868-77. doi: 10.1016/j.clinph.2009.01.015. Epub 2009 Apr 3.

PMID:
19345611
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.

Artifact removal in magnetoencephalogram background activity with independent component analysis.

Escudero J, Hornero R, Abásolo D, Fernández A, López-Coronado M.

IEEE Trans Biomed Eng. 2007 Nov;54(11):1965-73.

PMID:
18018691
9.

Automatic removal of eye movement and blink artifacts from EEG data using blind component separation.

Joyce CA, Gorodnitsky IF, Kutas M.

Psychophysiology. 2004 Mar;41(2):313-25.

PMID:
15032997
10.

[Removal of artifacts from EEG signal].

Du X, Li Y, Zhu Y, Ren Q, Zhao L.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2008 Apr;25(2):464-7, 471. Review. Chinese.

PMID:
18610643
11.

Improving MEG source localizations: an automated method for complete artifact removal based on independent component analysis.

Mantini D, Franciotti R, Romani GL, Pizzella V.

Neuroimage. 2008 Mar 1;40(1):160-73. Epub 2007 Dec 3.

PMID:
18155928
12.

Ocular and cardiac artifact rejection for real-time analysis in MEG.

Breuer L, Dammers J, Roberts TP, Shah NJ.

J Neurosci Methods. 2014 Aug 15;233:105-14. doi: 10.1016/j.jneumeth.2014.06.016. Epub 2014 Jun 19.

PMID:
24954539
13.

Rejection of stimulus-related MEG artifacts using independent component analysis.

Iwaki S, Yamamoto C, Tonoike M, Yamamoto T.

Neurol Clin Neurophysiol. 2004 Nov 30;2004:17.

PMID:
16012619
14.

Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only.

Ting KH, Fung PC, Chang CQ, Chan FH.

Med Eng Phys. 2006 Oct;28(8):780-94. Epub 2006 Jan 6.

PMID:
16406675
15.

Cardiac artifact subspace identification and elimination in cognitive MEG data using time-delayed decorrelation.

Sander TH, Wübbeler G, Lueschow A, Curio G, Trahms L.

IEEE Trans Biomed Eng. 2002 Apr;49(4):345-54.

PMID:
11942726
16.

Automatic removal of various artifacts from EEG signals using combined methods.

Gao J, Yang Y, Sun J, Yu G.

J Clin Neurophysiol. 2010 Oct;27(5):312-20. doi: 10.1097/WNP.0b013e3181f534f4.

PMID:
20844440
17.

Automatic removal of the eye blink artifact from EEG using an ICA-based template matching approach.

Li Y, Ma Z, Lu W, Li Y.

Physiol Meas. 2006 Apr;27(4):425-36. Epub 2006 Mar 14.

PMID:
16537983
18.
19.

High-throughput ocular artifact reduction in multichannel electroencephalography (EEG) using component subspace projection.

Ma J, Bayram S, Tao P, Svetnik V.

J Neurosci Methods. 2011 Mar 15;196(1):131-40. doi: 10.1016/j.jneumeth.2011.01.007. Epub 2011 Jan 12.

PMID:
21236300
20.

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
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