BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

404 related articles for article (PubMed ID: 23087632)

  • 1. 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]  

  • 2. Optimizing the ICA-based removal of ocular EEG artifacts from free viewing experiments.
    Dimigen O
    Neuroimage; 2020 Feb; 207():116117. PubMed ID: 31689537
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE)-A Novel ICA-Based Algorithm for Removing Myoelectric Artifacts From EEG.
    Li Y; Wang PT; Vaidya MP; Flint RD; Liu CY; Slutzky MW; Do AH
    Front Neurosci; 2020; 14():597941. PubMed ID: 33584176
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Automatic removal of eye movement and blink artifacts from EEG data using blind component separation.
    Joyce CA; Gorodnitsky IF; Kutas M
    Psychophysiology; 2004 Mar; 41(2):313-25. PubMed ID: 15032997
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Removing electroencephalographic artifacts by blind source separation.
    Jung TP; Makeig S; Humphries C; Lee TW; McKeown MJ; Iragui V; Sejnowski TJ
    Psychophysiology; 2000 Mar; 37(2):163-78. PubMed ID: 10731767
    [TBL] [Abstract][Full Text] [Related]  

  • 8. ICA With CWT and k-means for Eye-Blink Artifact Removal From Fewer Channel EEG.
    Maddirala AK; Veluvolu KC
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1361-1373. PubMed ID: 35604962
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A practical guide to the selection of independent components of the electroencephalogram for artifact correction.
    Chaumon M; Bishop DV; Busch NA
    J Neurosci Methods; 2015 Jul; 250():47-63. PubMed ID: 25791012
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Corneo-retinal-dipole and eyelid-related eye artifacts can be corrected offline and online in electroencephalographic and magnetoencephalographic signals.
    Kobler RJ; Sburlea AI; Lopes-Dias C; Schwarz A; Hirata M; Müller-Putz GR
    Neuroimage; 2020 Sep; 218():117000. PubMed ID: 32497788
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 268():31-42. PubMed ID: 27156989
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hybrid algorithm for multi artifact removal from single channel EEG.
    Noorbasha SK; Florence Sudha G
    Biomed Phys Eng Express; 2021 May; 7(4):. PubMed ID: 33930879
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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; 54(7):1256-67. PubMed ID: 17605357
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Validation of ICA as a tool to remove eye movement artifacts from EEG/ERP.
    Mennes M; Wouters H; Vanrumste B; Lagae L; Stiers P
    Psychophysiology; 2010 Nov; 47(6):1142-50. PubMed ID: 20409015
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Tracking gaze position from EEG: Exploring the possibility of an EEG-based virtual eye-tracker.
    Sun R; Cheng ASK; Chan C; Hsiao J; Privitera AJ; Gao J; Fong CH; Ding R; Tang AC
    Brain Behav; 2023 Oct; 13(10):e3205. PubMed ID: 37721530
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-Algorithm Artifact Correction (MAAC) procedure part one: Algorithm and example.
    Dien J
    Biol Psychol; 2024 Apr; 188():108775. PubMed ID: 38499226
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.