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 *

150 related articles for article (PubMed ID: 17364185)

  • 1. Removal of ocular artifacts from the EEG: a comparison between time-domain regression method and adaptive filtering method using simulated data.
    He P; Wilson G; Russell C; Gerschutz M
    Med Biol Eng Comput; 2007 May; 45(5):495-503. PubMed ID: 17364185
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. The removal of ocular artifacts from EEG signals using adaptive filters based on ocular source components.
    Chan HL; Tsai YT; Meng LF; Wu T
    Ann Biomed Eng; 2010 Nov; 38(11):3489-99. PubMed ID: 20532631
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High-throughput ocular artifact reduction in multichannel electroencephalography (EEG) using component subspace projection.
    Ma J; Bayram S; Tao P; Svetnik V
    J Neurosci Methods; 2011 Mar; 196(1):131-40. PubMed ID: 21236300
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Online removal of eye movement and blink EEG artifacts using a high-speed eye tracker.
    Noureddin B; Lawrence PD; Birch GE
    IEEE Trans Biomed Eng; 2012 Aug; 59(8):2103-10. PubMed ID: 21278013
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Removal of Ocular and Muscular Artifacts From Multi-Channel EEG Using Improved Spatial-Frequency Filtering.
    Shi W; Li Y; Cai N; Chen R; Cao W; Li J
    IEEE J Biomed Health Inform; 2024 Jun; 28(6):3466-3477. PubMed ID: 38502613
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ocular reduction in EEG signals based on adaptive filtering, regression and blind source separation.
    Romero S; Mañanas MA; Barbanoj MJ
    Ann Biomed Eng; 2009 Jan; 37(1):176-91. PubMed ID: 18985453
    [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. 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]  

  • 12. 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]  

  • 13. Detection and removal of ocular artifacts from EEG signals for an automated REM sleep analysis.
    Betta M; Gemignani A; Landi A; Laurino M; Piaggi P; Menicucci D
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5079-82. PubMed ID: 24110877
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Automated CCA-MWF Algorithm for Unsupervised Identification and Removal of EOG Artifacts From EEG.
    Miao M; Hu W; Xu B; Zhang J; Rodrigues JJPC; de Albuquerque VHC
    IEEE J Biomed Health Inform; 2022 Aug; 26(8):3607-3617. PubMed ID: 34847047
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ANC schemes for the enhancement of EEG signals in the presence of EOG artifacts.
    Sadasivan PK; Dutt DN
    Comput Biomed Res; 1996 Feb; 29(1):27-40. PubMed ID: 8689872
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Automatic removal algorithm of electrooculographic artifacts in non-invasive brain-computer interface based on independent component analysis].
    Song H; Xu S; Liu G; Liu J; Xiong P
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec; 39(6):1074-1081. PubMed ID: 36575075
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.