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880 related items for PubMed ID: 25666892
1. 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]
7. ARTIST: A fully automated artifact rejection algorithm for single-pulse TMS-EEG data. Wu W, Keller CJ, Rogasch NC, Longwell P, Shpigel E, Rolle CE, Etkin A. Hum Brain Mapp; 2018 Apr 30; 39(4):1607-1625. PubMed ID: 29331054 [Abstract] [Full Text] [Related]
8. A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification. LeVan P, Urrestarazu E, Gotman J. Clin Neurophysiol; 2006 Apr 30; 117(4):912-27. PubMed ID: 16458594 [Abstract] [Full Text] [Related]
10. 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]
13. Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information. Zhang C, Tong L, Zeng Y, Jiang J, Bu H, Yan B, Li J. Biomed Res Int; 2015 Aug 01; 2015():720450. PubMed ID: 26380294 [Abstract] [Full Text] [Related]
14. Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings. Croce P, Zappasodi F, Marzetti L, Merla A, Pizzella V, Chiarelli AM. IEEE Trans Biomed Eng; 2019 Aug 01; 66(8):2372-2380. PubMed ID: 30582523 [Abstract] [Full Text] [Related]
18. 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 02; 43(11):1804-14. PubMed ID: 24209926 [Abstract] [Full Text] [Related]
19. QRS artifact elimination on full night sleep EEG. Lanquart JP, Dumont M, Linkowski P. Med Eng Phys; 2006 Mar 02; 28(2):156-65. PubMed ID: 15939658 [Abstract] [Full Text] [Related]
20. Automatic removal of various artifacts from EEG signals using combined methods. Gao J, Yang Y, Sun J, Yu G. J Clin Neurophysiol; 2010 Oct 02; 27(5):312-20. PubMed ID: 20844440 [Abstract] [Full Text] [Related] Page: [Next] [New Search]