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 *

228 related articles for article (PubMed ID: 25637866)

  • 1. Detecting slow wave sleep using a single EEG signal channel.
    Su BL; Luo Y; Hong CY; Nagurka ML; Yen CW
    J Neurosci Methods; 2015 Mar; 243():47-52. PubMed ID: 25637866
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic detection of periods of slow wave sleep based on intracranial depth electrode recordings.
    Reed CM; Birch KG; Kamiński J; Sullivan S; Chung JM; Mamelak AN; Rutishauser U
    J Neurosci Methods; 2017 Apr; 282():1-8. PubMed ID: 28238858
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.
    Shi J; Liu X; Li Y; Zhang Q; Li Y; Ying S
    J Neurosci Methods; 2015 Oct; 254():94-101. PubMed ID: 26192325
    [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. Automatic detection of slow wave sleep using two channel electro-oculography.
    Virkkala J; Hasan J; Värri A; Himanen SL; Müller K
    J Neurosci Methods; 2007 Feb; 160(1):171-7. PubMed ID: 16965823
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic sleep classification using a data-driven topic model reveals latent sleep states.
    Koch H; Christensen JA; Frandsen R; Zoetmulder M; Arvastson L; Christensen SR; Jennum P; Sorensen HB
    J Neurosci Methods; 2014 Sep; 235():130-7. PubMed ID: 25016288
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Comparison Study on Multidomain EEG Features for Sleep Stage Classification.
    Zhang Y; Wang B; Jing J; Zhang J; Zou J; Nakamura M
    Comput Intell Neurosci; 2017; 2017():4574079. PubMed ID: 29230239
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic detection of transient EEG events during sleep can be improved using a multi-channel approach.
    Saccomandi F; Priano L; Mauro A; Nerino R; Guiot C
    Clin Neurophysiol; 2008 Apr; 119(4):959-67. PubMed ID: 18282740
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features.
    Hassan AR; Bhuiyan MI
    J Neurosci Methods; 2016 Sep; 271():107-18. PubMed ID: 27456762
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET.
    Lachner-Piza D; Epitashvili N; Schulze-Bonhage A; Stieglitz T; Jacobs J; Dümpelmann M
    J Neurosci Methods; 2018 Mar; 297():31-43. PubMed ID: 29291925
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters.
    Stepnowsky C; Levendowski D; Popovic D; Ayappa I; Rapoport DM
    Sleep Med; 2013 Nov; 14(11):1199-207. PubMed ID: 24047533
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An ensemble system for automatic sleep stage classification using single channel EEG signal.
    Koley B; Dey D
    Comput Biol Med; 2012 Dec; 42(12):1186-95. PubMed ID: 23102750
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic detection of K-complexes: validation in normals and dysthymic patients.
    da Rosa AC; Paiva T
    Sleep; 1993 Apr; 16(3):239-48. PubMed ID: 8506457
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Slow-Wave Sleep Estimation for Healthy Subjects and OSA Patients Using R-R Intervals.
    Yoon H; Hwang SH; Choi JW; Lee YJ; Jeong DU; Park KS
    IEEE J Biomed Health Inform; 2018 Jan; 22(1):119-128. PubMed ID: 28600268
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal.
    Bhattacharjee A; Saha S; Fattah SA; Zhu WP; Ahmad MO
    IEEE J Biomed Health Inform; 2019 May; 23(3):1066-1074. PubMed ID: 29994231
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection of eye blink artifacts from single prefrontal channel electroencephalogram.
    Chang WD; Cha HS; Kim K; Im CH
    Comput Methods Programs Biomed; 2016 Feb; 124():19-30. PubMed ID: 26560852
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Detection of cortical slow waves in the sleep EEG using a modified matching pursuit method with a restricted dictionary.
    Picot A; Whitmore H; Chapotot F
    IEEE Trans Biomed Eng; 2012 Oct; 59(10):2808-17. PubMed ID: 22868527
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sleep staging algorithm based on multichannel data adding and multifeature screening.
    Huang W; Guo B; Shen Y; Tang X; Zhang T; Li D; Jiang Z
    Comput Methods Programs Biomed; 2020 Apr; 187():105253. PubMed ID: 31812884
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EEG artifact elimination by extraction of ICA-component features using image processing algorithms.
    Radüntz T; Scouten J; Hochmuth O; Meffert B
    J Neurosci Methods; 2015 Mar; 243():84-93. PubMed ID: 25666892
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.