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333 related items for PubMed ID: 23666954
1. Automated artifact removal from the electroencephalogram: a comparative study. Daly I, Nicolaou N, Nasuto SJ, Warwick K. Clin EEG Neurosci; 2013 Oct; 44(4):291-306. PubMed ID: 23666954 [Abstract] [Full Text] [Related]
2. Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram. De Clercq W, Vergult A, Vanrumste B, Van Paesschen W, Van Huffel S. IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2583-7. PubMed ID: 17153216 [Abstract] [Full Text] [Related]
3. 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. PubMed ID: 16406675 [Abstract] [Full Text] [Related]
4. On semi-blind source separation using spatial constraints with applications in EEG analysis. Hesse CW, James CJ. IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2525-34. PubMed ID: 17153210 [Abstract] [Full Text] [Related]
10. Improving the interpretation of ictal scalp EEG: BSS-CCA algorithm for muscle artifact removal. Vergult A, De Clercq W, Palmini A, Vanrumste B, Dupont P, Van Huffel S, Van Paesschen W. Epilepsia; 2007 May 01; 48(5):950-8. PubMed ID: 17381439 [Abstract] [Full Text] [Related]
11. EEG artifact elimination by extraction of ICA-component features using image processing algorithms. Radüntz T, Scouten J, Hochmuth O, Meffert B. J Neurosci Methods; 2015 Mar 30; 243():84-93. PubMed ID: 25666892 [Abstract] [Full Text] [Related]
12. Automated removal of EKG artifact from EEG data using independent component analysis and continuous wavelet transformation. Hamaneh MB, Chitravas N, Kaiboriboon K, Lhatoo SD, Loparo KA. IEEE Trans Biomed Eng; 2014 Jun 30; 61(6):1634-41. PubMed ID: 24845273 [Abstract] [Full Text] [Related]
13. Enhanced mu rhythm extraction using blind source separation and wavelet transform. Ng SC, Raveendran P. IEEE Trans Biomed Eng; 2009 Aug 30; 56(8):2024-34. PubMed ID: 19457744 [Abstract] [Full Text] [Related]
14. Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. Nakamura W, Anami K, Mori T, Saitoh O, Cichocki A, Amari S. IEEE Trans Biomed Eng; 2006 Jul 30; 53(7):1294-308. PubMed ID: 16830934 [Abstract] [Full Text] [Related]
15. An improved artifacts removal method for high dimensional EEG. Hou J, Morgan K, Tucker DM, Konyn A, Poulsen C, Tanaka Y, Anderson EW, Luu P. J Neurosci Methods; 2016 Aug 01; 268():31-42. PubMed ID: 27156989 [Abstract] [Full Text] [Related]
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 01; 124():19-30. PubMed ID: 26560852 [Abstract] [Full Text] [Related]
17. Using an eye tracker for accurate eye movement artifact correction. Kierkels JJ, Riani J, Bergmans JW, van Boxtel GJ. IEEE Trans Biomed Eng; 2007 Jul 01; 54(7):1256-67. PubMed ID: 17605357 [Abstract] [Full Text] [Related]
18. EEG artifact removal-state-of-the-art and guidelines. Urigüen JA, Garcia-Zapirain B. J Neural Eng; 2015 Jun 01; 12(3):031001. PubMed ID: 25834104 [Abstract] [Full Text] [Related]
19. FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing. Daly I, Scherer R, Billinger M, Müller-Putz G. IEEE Trans Neural Syst Rehabil Eng; 2015 Sep 01; 23(5):725-36. PubMed ID: 25134085 [Abstract] [Full Text] [Related]
20. Removal of EEG noise and artifact using blind source separation. Fitzgibbon SP, Powers DM, Pope KJ, Clark CR. J Clin Neurophysiol; 2007 Jun 01; 24(3):232-43. PubMed ID: 17545826 [Abstract] [Full Text] [Related] Page: [Next] [New Search]