BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 19646476)

  • 1. Spatio-temporal analysis of monofractal and multifractal properties of the human sleep EEG.
    Weiss B; Clemens Z; Bódizs R; Vágó Z; Halász P
    J Neurosci Methods; 2009 Dec; 185(1):116-24. PubMed ID: 19646476
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The hypnospectrogram: an EEG power spectrum based means to concurrently overview the macroscopic and microscopic architecture of human sleep.
    Kokkinos V; Koupparis A; Stavrinou ML; Kostopoulos GK
    J Neurosci Methods; 2009 Dec; 185(1):29-38. PubMed ID: 19747945
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Brain activity and temporal coupling related to eye movements during REM sleep: EEG and MEG results.
    Corsi-Cabrera M; Guevara MA; del Río-Portilla Y
    Brain Res; 2008 Oct; 1235():82-91. PubMed ID: 18625213
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis.
    Lee JM; Kim DJ; Kim IY; Suk Park K; Kim SI
    Med Eng Phys; 2004 Nov; 26(9):773-6. PubMed ID: 15564114
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CNS arousal and neurobehavioral performance in a short-term sleep restriction paradigm.
    Cote KA; Milner CE; Smith BA; Aubin AJ; Greason TA; Cuthbert BP; Wiebe S; Duffus SE
    J Sleep Res; 2009 Sep; 18(3):291-303. PubMed ID: 19552702
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Temporal coupling of rapid eye movements and cerebral activities during REM sleep.
    Ogawa K; Abe T; Nittono H; Yamazaki K; Hori T
    Clin Neurophysiol; 2009 Jan; 120(1):18-23. PubMed ID: 19062337
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of fractal and power spectral EEG features: effects of topography and sleep stages.
    Weiss B; Clemens Z; Bódizs R; Halász P
    Brain Res Bull; 2011 Apr; 84(6):359-75. PubMed ID: 21147200
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Changes in processing of masked stimuli across early- and late-night sleep: a study on behavior and brain potentials.
    Verleger R; Schuknecht SV; Jaśkowski P; Wagner U
    Brain Cogn; 2008 Nov; 68(2):180-92. PubMed ID: 18541356
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Systematic performance evaluation of a continuous-scale sleep depth measure.
    Saastamoinen A; Huupponen E; Värri A; Hasan J; Himanen SL
    Med Eng Phys; 2007 Dec; 29(10):1119-31. PubMed ID: 17169597
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Evidence for differential human slow-wave activity regulation across the brain.
    Zavada A; Strijkstra AM; Boerema AS; Daan S; Beersma DG
    J Sleep Res; 2009 Mar; 18(1):3-10. PubMed ID: 19021858
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Characterization of the sleep EEG in acutely depressed men using detrended fluctuation analysis.
    Leistedt S; Dumont M; Lanquart JP; Jurysta F; Linkowski P
    Clin Neurophysiol; 2007 Apr; 118(4):940-50. PubMed ID: 17314064
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison between the results of an automatic and a visual scoring of sleep EEG recordings.
    Ferri R; Ferri P; Colognola RM; Petrella MA; Musumeci SA; Bergonzi P
    Sleep; 1989 Aug; 12(4):354-62. PubMed ID: 2762689
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic sleep scoring: a search for an optimal combination of measures.
    Krakovská A; Mezeiová K
    Artif Intell Med; 2011 Sep; 53(1):25-33. PubMed ID: 21742473
    [TBL] [Abstract][Full Text] [Related]  

  • 15. REM narcolepsy, clinical polysomnographic and computerized electroencephalographic studies.
    Popoviciu L; Delast-Popoviciu D; Bagathai J
    Rom J Neurol Psychiatry; 1992; 30(4):301-16. PubMed ID: 1299307
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spectral analysis of sleep EEG in patients with restless legs syndrome.
    Hornyak M; Feige B; Voderholzer U; Riemann D
    Clin Neurophysiol; 2005 Jun; 116(6):1265-72. PubMed ID: 15978488
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.
    Astolfi L; Cincotti F; Mattia D; Salinari S; Babiloni C; Basilisco A; Rossini PM; Ding L; Ni Y; He B; Marciani MG; Babiloni F
    Magn Reson Imaging; 2004 Dec; 22(10):1457-70. PubMed ID: 15707795
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Likeness-based detection of sleep slow oscillations in normal and altered sleep conditions: application on low-density EEG recordings.
    Piarulli A; Menicucci D; Gemignani A; Olcese U; d'Ascanio P; Pingitore A; Bedini R; Landi A
    IEEE Trans Biomed Eng; 2010 Feb; 57(2):363-72. PubMed ID: 19770081
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Topographic differences in mean computational sleep depth between healthy controls and obstructive sleep apnoea patients.
    Saastamoinen A; Oja H; Huupponen E; Värri A; Hasan J; Himanen SL
    J Neurosci Methods; 2006 Oct; 157(1):178-84. PubMed ID: 16716408
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The individual adjustment method of sleep spindle analysis: methodological improvements and roots in the fingerprint paradigm.
    Bódizs R; Körmendi J; Rigó P; Lázár AS
    J Neurosci Methods; 2009 Mar; 178(1):205-13. PubMed ID: 19061915
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.