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 *

179 related articles for article (PubMed ID: 29618975)

  • 1. Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications.
    Stone DB; Tamburro G; Fiedler P; Haueisen J; Comani S
    Front Hum Neurosci; 2018; 12():96. PubMed ID: 29618975
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings.
    Tamburro G; Fiedler P; Stone D; Haueisen J; Comani S
    PeerJ; 2018; 6():e4380. PubMed ID: 29492336
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Is Brain Dynamics Preserved in the EEG After Automated Artifact Removal? A Validation of the Fingerprint Method and the Automatic Removal of Cardiac Interference Approach Based on Microstate Analysis.
    Tamburro G; Croce P; Zappasodi F; Comani S
    Front Neurosci; 2020; 14():577160. PubMed ID: 33510607
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic Removal of Cardiac Interference (ARCI): A New Approach for EEG Data.
    Tamburro G; Stone DB; Comani S
    Front Neurosci; 2019; 13():441. PubMed ID: 31133785
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining EEG and eye tracking: identification, characterization, and correction of eye movement artifacts in electroencephalographic data.
    Plöchl M; Ossandón JP; König P
    Front Hum Neurosci; 2012; 6():278. PubMed ID: 23087632
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic classification of artifactual ICA-components for artifact removal in EEG signals.
    Winkler I; Haufe S; Tangermann M
    Behav Brain Funct; 2011 Aug; 7():30. PubMed ID: 21810266
    [TBL] [Abstract][Full Text] [Related]  

  • 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. PubMed ID: 20039116
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated Classification and Removal of EEG Artifacts With SVM and Wavelet-ICA.
    Sai CY; Mokhtar N; Arof H; Cumming P; Iwahashi M
    IEEE J Biomed Health Inform; 2018 May; 22(3):664-670. PubMed ID: 28692997
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A fully automatic method for ocular artifact suppression from EEG data using wavelet transform and independent component analysis.
    Ghandeharion H; Erfanian A
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5265-8. PubMed ID: 17946688
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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. PubMed ID: 24209926
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A fully automatic ocular artifact suppression from EEG data using higher order statistics: improved performance by wavelet analysis.
    Ghandeharion H; Erfanian A
    Med Eng Phys; 2010 Sep; 32(7):720-9. PubMed ID: 20466582
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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. PubMed ID: 26863159
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features.
    Mognon A; Jovicich J; Bruzzone L; Buiatti M
    Psychophysiology; 2011 Feb; 48(2):229-40. PubMed ID: 20636297
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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. PubMed ID: 20844440
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic Identification of Artifact-Related Independent Components for Artifact Removal in EEG Recordings.
    Zou Y; Nathan V; Jafari R
    IEEE J Biomed Health Inform; 2016 Jan; 20(1):73-81. PubMed ID: 25415992
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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. PubMed ID: 16537983
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Hybrid EEG--Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal.
    Mannan MM; Kim S; Jeong MY; Kamran MA
    Sensors (Basel); 2016 Feb; 16(2):241. PubMed ID: 26907276
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal.
    Chang CY; Hsu SH; Pion-Tonachini L; Jung TP
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1242-1245. PubMed ID: 30440615
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 117(4):912-27. PubMed ID: 16458594
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Discriminative Ocular Artifact Correction for Feature Learning in EEG Analysis.
    Xinyang Li ; Cuntai Guan ; Haihong Zhang ; Kai Keng Ang
    IEEE Trans Biomed Eng; 2017 Aug; 64(8):1906-1913. PubMed ID: 28113291
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.