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 *

129 related articles for article (PubMed ID: 9032011)

  • 1. Nonlinear eye movement detection method for drowsiness studies.
    Värri A; Hirvonen K; Häkkinen V; Hasan J; Loula P
    Int J Biomed Comput; 1996 Dec; 43(3):227-42. PubMed ID: 9032011
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [An improved weighted median filter and its application in EOG processing].
    Shi N; Wang X; Zou J; Wang B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Oct; 24(5):1069-72. PubMed ID: 18027699
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Linear automatic detection of eye movements during the transition between wake and sleep.
    Hiroshige Y
    Psychiatry Clin Neurosci; 1999 Apr; 53(2):179-81. PubMed ID: 10459682
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Two auto-detection methods for eye movements during eyes closed.
    Suzuki H; Matsuura M; Moriguchi K; Kojima T; Hiroshige Y; Matsuda T; Noda Y
    Psychiatry Clin Neurosci; 2001 Jun; 55(3):197-8. PubMed ID: 11422839
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated eye tracking system calibration using artificial neural networks.
    Coughlin MJ; Cutmore TR; Hine TJ
    Comput Methods Programs Biomed; 2004 Dec; 76(3):207-20. PubMed ID: 15501507
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The use of two-channel electro-oculography in automatic detection of unintentional sleep onset.
    Virkkala J; Hasan J; Värri A; Himanen SL; Härmä M
    J Neurosci Methods; 2007 Jun; 163(1):137-44. PubMed ID: 17376536
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effects of digital filtering on the parameters of sinusoidal tracking eye movements.
    Juhola M
    Comput Biomed Res; 1995 Aug; 28(4):283-90. PubMed ID: 8549120
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Visual and computer-based detection of slow eye movements in overnight and 24-h EOG recordings.
    Magosso E; Ursino M; Zaniboni A; Provini F; Montagna P
    Clin Neurophysiol; 2007 May; 118(5):1122-33. PubMed ID: 17368090
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Classification method for eye movements direction during REM sleep trained on wake electro-oculographic recordings.
    Betta M; Laurino M; Gemignani A; Landi A; Menicucci D
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():370-3. PubMed ID: 26736276
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A syntactic analysis method for sinusoidal tracking eye movements.
    Juhola M
    Comput Biomed Res; 1991 Jun; 24(3):222-33. PubMed ID: 1868692
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An improved algorithm for the automatic detection and characterization of slow eye movements.
    Cona F; Pizza F; Provini F; Magosso E
    Med Eng Phys; 2014 Jul; 36(7):954-61. PubMed ID: 24768562
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography.
    López A; Ferrero F; Postolache O
    Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31480331
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Noise-Assisted Data Analysis Method for Automatic EOG-Based Sleep Stage Classification Using Ensemble Learning.
    Olesen AN; Christensen JA; Sorensen HB; Jennum PJ
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3769-3772. PubMed ID: 28269109
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A signal analysis method for impulse-like eye movements.
    Juhola M; Aalto H; Hirvonen T
    Stud Health Technol Inform; 1999; 68():365-8. PubMed ID: 10724907
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On identification of saccades from sinusoidal eye movement signals.
    Juhola M; Pyykkö I
    Int J Biomed Comput; 1992 Mar; 30(2):89-102. PubMed ID: 1568785
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robust EOG-based saccade recognition using multi-channel blind source deconvolution.
    Zhang B; Bi N; Zhang C; Gao X; Lv Z
    Biomed Tech (Berl); 2019 May; 64(3):309-324. PubMed ID: 29975664
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Novel method for evaluation of eye movements in patients with narcolepsy.
    Christensen JAE; Kempfner L; Leonthin HL; Hvidtfelt M; Nikolic M; Kornum BR; Jennum P
    Sleep Med; 2017 May; 33():171-180. PubMed ID: 28087252
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Controlling a human-computer interface system with a novel classification method that uses electrooculography signals.
    Wu SL; Liao LD; Lu SW; Jiang WL; Chen SA; Lin CT
    IEEE Trans Biomed Eng; 2013 Aug; 60(8):2133-41. PubMed ID: 23446030
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Removing the Interdependency between Horizontal and Vertical Eye-Movement Components in Electrooculograms.
    Chang WD; Cha HS; Im CH
    Sensors (Basel); 2016 Feb; 16(2):227. PubMed ID: 26907271
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.