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 *

207 related articles for article (PubMed ID: 12663065)

  • 1. Computerized processing of EEG-EOG-EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials.
    Moretti DV; Babiloni F; Carducci F; Cincotti F; Remondini E; Rossini PM; Salinari S; Babiloni C
    Int J Psychophysiol; 2003 Mar; 47(3):199-216. PubMed ID: 12663065
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reduction hybrid artifacts of EMG-EOG in electroencephalography evoked by prefrontal transcranial magnetic stimulation.
    Bai Y; Wan X; Zeng K; Ni Y; Qiu L; Li X
    J Neural Eng; 2016 Dec; 13(6):066016. PubMed ID: 27788128
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The removal of the eye-movement artifact from the EEG by regression analysis in the frequency domain.
    Woestenburg JC; Verbaten MN; Slangen JL
    Biol Psychol; 1983; 16(1-2):127-47. PubMed ID: 6850023
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic sleep stage classification using two-channel electro-oculography.
    Virkkala J; Hasan J; Värri A; Himanen SL; Müller K
    J Neurosci Methods; 2007 Oct; 166(1):109-15. PubMed ID: 17681382
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A model-based objective evaluation of eye movement correction in EEG recordings.
    Kierkels JJ; van Boxtel GJ; Vogten LL
    IEEE Trans Biomed Eng; 2006 Feb; 53(2):246-53. PubMed ID: 16485753
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Removal of ocular artifacts from electro-encephalogram by adaptive filtering.
    He P; Wilson G; Russell C
    Med Biol Eng Comput; 2004 May; 42(3):407-12. PubMed ID: 15191087
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Online removal of muscle artifact from electroencephalogram signals based on canonical correlation analysis.
    Gao J; Zheng C; Wang P
    Clin EEG Neurosci; 2010 Jan; 41(1):53-9. PubMed ID: 20307017
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.
    Juyal R; Muthusamy H; Kumar N
    Med Biol Eng Comput; 2022 Dec; 60(12):3567-3583. PubMed ID: 36245020
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative evaluation of ocular artifact removal methods based on real and estimated EOG signals.
    Noureddin B; Lawrence PD; Birch GE
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5041-4. PubMed ID: 19163849
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A test of four EOG correction methods using an improved validation technique.
    Pham TT; Croft RJ; Cadusch PJ; Barry RJ
    Int J Psychophysiol; 2011 Feb; 79(2):203-10. PubMed ID: 21034784
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: a simulation case.
    Romero S; Mañanas MA; Barbanoj MJ
    Comput Biol Med; 2008 Mar; 38(3):348-60. PubMed ID: 18222418
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Issues relating to the subtraction phase in EOG artefact correction of the EEG.
    Croft RJ; Barry RJ
    Int J Psychophysiol; 2002 Jun; 44(3):187-95. PubMed ID: 12031294
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A fully automated correction method of EOG artifacts in EEG recordings.
    Schlögl A; Keinrath C; Zimmermann D; Scherer R; Leeb R; Pfurtscheller G
    Clin Neurophysiol; 2007 Jan; 118(1):98-104. PubMed ID: 17088100
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ballistocardiogram artifact removal from EEG signals using adaptive filtering of EOG signals.
    In MH; Lee SY; Park TS; Kim TS; Cho MH; Ahn YB
    Physiol Meas; 2006 Nov; 27(11):1227-40. PubMed ID: 17028414
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhancing EEG data quality and precision for cloud-based clinical applications: an evaluation of the SLOG framework.
    Ghani A; Heinrich H; Brown T; Schellhorn K
    Biomed Phys Eng Express; 2024 Oct; 10(6):. PubMed ID: 39315479
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition.
    Wang G; Teng C; Li K; Zhang Z; Yan X
    IEEE J Biomed Health Inform; 2016 Sep; 20(5):1301-8. PubMed ID: 26126290
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel EOG/EEG hybrid human-machine interface adopting eye movements and ERPs: application to robot control.
    Ma J; Zhang Y; Cichocki A; Matsuno F
    IEEE Trans Biomed Eng; 2015 Mar; 62(3):876-89. PubMed ID: 25398172
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Wavelet analysis of electroencephalographic and electro-oculographic changes during the sleep onset period.
    Magosso E; Ursino M; Provini F; Montagna P
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4006-10. PubMed ID: 18002878
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.