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Items: 1 to 20 of 111

1.

DETECT: a MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals.

Lawhern V, Hairston WD, Robbins K.

PLoS One. 2013 Apr 24;8(4):e62944. doi: 10.1371/journal.pone.0062944. Print 2013.

2.

Detection and classification of subject-generated artifacts in EEG signals using autoregressive models.

Lawhern V, Hairston WD, McDowell K, Westerfield M, Robbins K.

J Neurosci Methods. 2012 Jul 15;208(2):181-9. doi: 10.1016/j.jneumeth.2012.05.017. Epub 2012 May 23.

3.

EEGVIS: A MATLAB Toolbox for Browsing, Exploring, and Viewing Large Datasets.

Robbins KA.

Front Neuroinform. 2012 May 28;6:17. doi: 10.3389/fninf.2012.00017. eCollection 2012.

4.

Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping.

Hill NJ, Gupta D, Brunner P, Gunduz A, Adamo MA, Ritaccio A, Schalk G.

J Vis Exp. 2012 Jun 26;(64). pii: 3993. doi: 10.3791/3993.

5.

Detection of artifacts from high energy bursts in neonatal EEG.

Bhattacharyya S, Biswas A, Mukherjee J, Majumdar AK, Majumdar B, Mukherjee S, Singh AK.

Comput Biol Med. 2013 Nov;43(11):1804-14. doi: 10.1016/j.compbiomed.2013.07.031. Epub 2013 Aug 22.

PMID:
24209926
6.

TMSEEG: A MATLAB-Based Graphical User Interface for Processing Electrophysiological Signals during Transcranial Magnetic Stimulation.

Atluri S, Frehlich M, Mei Y, Garcia Dominguez L, Rogasch NC, Wong W, Daskalakis ZJ, Farzan F.

Front Neural Circuits. 2016 Oct 7;10:78. eCollection 2016.

7.

Subspace techniques to remove artifacts from EEG: a quantitative analysis.

Teixeira AR, Tome AM, Lang EW, Martins da Silva A.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:4395-8. doi: 10.1109/IEMBS.2008.4650185.

PMID:
19163688
8.

FACET - a "Flexible Artifact Correction and Evaluation Toolbox" for concurrently recorded EEG/fMRI data.

Glaser J, Beisteiner R, Bauer H, Fischmeister FP.

BMC Neurosci. 2013 Nov 9;14:138. doi: 10.1186/1471-2202-14-138.

9.

Automatic detection and classification of artifacts in single-channel EEG.

Olund T, Duun-Henriksen J, Kjaer TW, Sorensen HB.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:922-5. doi: 10.1109/EMBC.2014.6943742.

PMID:
25570110
10.

A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements.

Kilicarslan A, Grossman RG, Contreras-Vidal JL.

J Neural Eng. 2016 Apr;13(2):026013. doi: 10.1088/1741-2560/13/2/026013. Epub 2016 Feb 10.

PMID:
26863159
11.

EEG artifact removal-state-of-the-art and guidelines.

Urigüen JA, Garcia-Zapirain B.

J Neural Eng. 2015 Jun;12(3):031001. doi: 10.1088/1741-2560/12/3/031001. Epub 2015 Apr 2. Review.

PMID:
25834104
12.

ERPLAB: an open-source toolbox for the analysis of event-related potentials.

Lopez-Calderon J, Luck SJ.

Front Hum Neurosci. 2014 Apr 14;8:213. doi: 10.3389/fnhum.2014.00213. eCollection 2014.

13.

ERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentials.

Mørup M, Hansen LK, Arnfred SM.

J Neurosci Methods. 2007 Apr 15;161(2):361-8. Epub 2007 Jan 3.

PMID:
17204335
14.

Methods for artifact detection and removal from scalp EEG: A review.

Islam MK, Rastegarnia A, Yang Z.

Neurophysiol Clin. 2016 Nov;46(4-5):287-305. doi: 10.1016/j.neucli.2016.07.002. Epub 2016 Oct 15. Review.

PMID:
27751622
15.

Statistical feature extraction for artifact removal from concurrent fMRI-EEG recordings.

Liu Z, de Zwart JA, van Gelderen P, Kuo LW, Duyn JH.

Neuroimage. 2012 Feb 1;59(3):2073-87. doi: 10.1016/j.neuroimage.2011.10.042. Epub 2011 Oct 20.

16.

Detection of eye blink artifacts from single prefrontal channel electroencephalogram.

Chang WD, Cha HS, Kim K, Im CH.

Comput Methods Programs Biomed. 2016 Feb;124:19-30. doi: 10.1016/j.cmpb.2015.10.011. Epub 2015 Oct 26.

PMID:
26560852
17.

A MATLAB toolbox for Granger causal connectivity analysis.

Seth AK.

J Neurosci Methods. 2010 Feb 15;186(2):262-73. doi: 10.1016/j.jneumeth.2009.11.020. Epub 2009 Dec 2.

PMID:
19961876
18.

Automatic classification of artifactual ICA-components for artifact removal in EEG signals.

Winkler I, Haufe S, Tangermann M.

Behav Brain Funct. 2011 Aug 2;7:30. doi: 10.1186/1744-9081-7-30.

19.

fMRI artefact rejection and sleep scoring toolbox.

Leclercq Y, Schrouff J, Noirhomme Q, Maquet P, Phillips C.

Comput Intell Neurosci. 2011;2011:598206. doi: 10.1155/2011/598206. Epub 2011 Mar 13.

20.

Pulse artifact detection in simultaneous EEG-fMRI recording based on EEG map topography.

Iannotti GR, Pittau F, Michel CM, Vulliemoz S, Grouiller F.

Brain Topogr. 2015 Jan;28(1):21-32. doi: 10.1007/s10548-014-0409-z. Epub 2014 Oct 12.

PMID:
25307731

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