These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 36279275)

  • 21. Online Recursive ICA Algorithm Used for Motor Imagery EEG Signal.
    Lin X; Wang L; Ohtsuki T
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():502-505. PubMed ID: 33018037
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A novel deep learning model based on the ICA and Riemannian manifold for EEG-based emotion recognition.
    Wu M; Hu S; Wei B; Lv Z
    J Neurosci Methods; 2022 Aug; 378():109642. PubMed ID: 35690333
    [TBL] [Abstract][Full Text] [Related]  

  • 23. [Extraction of evoked related potentials by using the combination of independent component analysis and wavelet analysis].
    Zou L; Chen S; Sun Y; Ma Z
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Aug; 27(4):741-5. PubMed ID: 20842836
    [TBL] [Abstract][Full Text] [Related]  

  • 24. [Apply ICA (independent component analysis) to removing power noise from EEG].
    Gao Y; Wan B; Zhu X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Dec; 20(4):713-5. PubMed ID: 14716884
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Uncovering neural independent components from highly artifactual TMS-evoked EEG data.
    Hernandez-Pavon JC; Metsomaa J; Mutanen T; Stenroos M; Mäki H; Ilmoniemi RJ; Sarvas J
    J Neurosci Methods; 2012 Jul; 209(1):144-57. PubMed ID: 22687937
    [TBL] [Abstract][Full Text] [Related]  

  • 26. ICA based multiple brain sources localization.
    Chen Y; Akutagawa M; Katayama M; Zhang Q; Kinouchi Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1879-82. PubMed ID: 19163055
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Suppression of overlearning in independent component analysis used for removal of muscular artifacts from electroencephalographic records.
    Sebek J; Bortel R; Sovka P
    PLoS One; 2018; 13(8):e0201900. PubMed ID: 30106969
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis.
    Mijović B; De Vos M; Gligorijević I; Taelman J; Van Huffel S
    IEEE Trans Biomed Eng; 2010 Sep; 57(9):2188-96. PubMed ID: 20542760
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [EEG feature extraction based on quantum particle swarm optimizer and independent component analysis].
    Huang L; Wang H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Jun; 31(3):502-5. PubMed ID: 25219223
    [TBL] [Abstract][Full Text] [Related]  

  • 30. On spatio-temporal component selection in space-time independent component analysis: an application to ictal EEG.
    James CJ; Demanuele C
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3154-7. PubMed ID: 19964610
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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; 243():84-93. PubMed ID: 25666892
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Analysis on subtracting projection of extracted independent components from EEG recordings.
    Cong F; Kalyakin I; Chang Z; Ristaniemi T
    Biomed Tech (Berl); 2011 Aug; 56(4):223-34. PubMed ID: 21823999
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Fetal Electrocardiography Extraction Based on Improved Fast Independent Components Analysis Algorithm.
    Li T
    Crit Rev Biomed Eng; 2021; 49(4):53-64. PubMed ID: 35695603
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Focal artifact removal from ongoing EEG--a hybrid approach based on spatially-constrained ICA and wavelet de-noising.
    Akhtar MT; James CJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():4027-30. PubMed ID: 19964336
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Functional source separation improves the quality of single trial visual evoked potentials recorded during concurrent EEG-fMRI.
    Porcaro C; Ostwald D; Bagshaw AP
    Neuroimage; 2010 Mar; 50(1):112-23. PubMed ID: 20006718
    [TBL] [Abstract][Full Text] [Related]  

  • 36. [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. PubMed ID: 18610643
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Analysis of fMRI data by blind separation into independent spatial components.
    McKeown MJ; Makeig S; Brown GG; Jung TP; Kindermann SS; Bell AJ; Sejnowski TJ
    Hum Brain Mapp; 1998; 6(3):160-88. PubMed ID: 9673671
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Neural component analysis: A spatial filter for electroencephalogram analysis.
    Daly I
    J Neurosci Methods; 2021 Jan; 348():108987. PubMed ID: 33157145
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Real-time ocular artifacts suppression from EEG signals using an unsupervised adaptive blind source separation.
    Shayegh F; Erfanian A
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5269-72. PubMed ID: 17946689
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The effect of mutual information on independent component analysis in EEG/MEG analysis: a simulation study.
    Neumann A; Grosse-Wentrup M; Buss M; Gramann K
    Int J Neurosci; 2008 Nov; 118(11):1534-46. PubMed ID: 18853332
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.