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 *

181 related articles for article (PubMed ID: 12559226)

  • 1. Dimensional complexity and spectral properties of the human sleep EEG. Electroencephalograms.
    Shen Y; Olbrich E; Achermann P; Meier PF
    Clin Neurophysiol; 2003 Feb; 114(2):199-209. PubMed ID: 12559226
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Nonlinear dynamical analysis of the neonatal EEG time series: the relationship between sleep state and complexity.
    Janjarasjitt S; Scher MS; Loparo KA
    Clin Neurophysiol; 2008 Aug; 119(8):1812-1823. PubMed ID: 18486543
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Interdependency between heart rate variability and sleep EEG: linear/non-linear?
    Dumont M; Jurysta F; Lanquart JP; Migeotte PF; van de Borne P; Linkowski P
    Clin Neurophysiol; 2004 Sep; 115(9):2031-40. PubMed ID: 15294205
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Discrimination of sleep stages: a comparison between spectral and nonlinear EEG measures.
    Fell J; Röschke J; Mann K; Schäffner C
    Electroencephalogr Clin Neurophysiol; 1996 May; 98(5):401-10. PubMed ID: 8647043
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Application of complexity sequence in sleep staging based on sleep EEG data].
    Long F; Zhang D; Fan L; Wu X; Feng H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Mar; 20(1):60-3. PubMed ID: 12744164
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The use of permutation entropy to characterize sleep electroencephalograms.
    Nicolaou N; Georgiou J
    Clin EEG Neurosci; 2011 Jan; 42(1):24-8. PubMed ID: 21309439
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Surrogate data analysis of sleep electroencephalograms reveals evidence for nonlinearity.
    Fell J; Röschke J; Schäffner C
    Biol Cybern; 1996 Jul; 75(1):85-92. PubMed ID: 8765657
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Investigating the interaction between heart rate variability and sleep EEG using nonlinear algorithms.
    Yeh JR; Peng CK; Lo MT; Yeh CH; Chen SC; Wang CY; Lee PL; Kang JH
    J Neurosci Methods; 2013 Oct; 219(2):233-9. PubMed ID: 23965234
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interhemispheric differences in awake and sleep human EEG: a comparison between non-linear and spectral measures.
    Pereda E; Gamundi A; Nicolau MC; Rial R; González J
    Neurosci Lett; 1999 Mar; 263(1):37-40. PubMed ID: 10218905
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. [Sleep EEG as a nonlinear dynamic process: a comparison of global correlation dimension of human EEG and measures of linear interdependence between channels].
    Sulimov AV; Marageĭ RA
    Zh Vyssh Nerv Deiat Im I P Pavlova; 2003; 53(2):151-5. PubMed ID: 12754840
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Classical sleep stages and the spectral content of the EEG signal.
    Gath I; Bar-On E
    Int J Neurosci; 1983 Dec; 22(1-2):147-55. PubMed ID: 6668131
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Linear and non-linear brain-heart and brain-brain interactions during sleep.
    Faes L; Marinazzo D; Jurysta F; Nollo G
    Physiol Meas; 2015 Apr; 36(4):683-98. PubMed ID: 25799205
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sigma (12-15 Hz) and delta (0.3-3 Hz) EEG oscillate reciprocally within NREM sleep.
    Uchida S; Maloney T; March JD; Azari R; Feinberg I
    Brain Res Bull; 1991 Jul; 27(1):93-6. PubMed ID: 1933440
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bivariate global frequency analysis versus chaos theory. A comparison for sleep EEG data.
    Ziller M; Frick K; Herrmann WM; Kubicki S; Spieweg I; Winterer G
    Neuropsychobiology; 1995; 32(1):45-51. PubMed ID: 7566522
    [TBL] [Abstract][Full Text] [Related]  

  • 17. All-night EEG power spectral analysis of the cyclic alternating pattern components in young adult subjects.
    Ferri R; Bruni O; Miano S; Plazzi G; Terzano MG
    Clin Neurophysiol; 2005 Oct; 116(10):2429-40. PubMed ID: 16112901
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals.
    Ebrahimi F; Setarehdan SK; Ayala-Moyeda J; Nazeran H
    Comput Methods Programs Biomed; 2013 Oct; 112(1):47-57. PubMed ID: 23895941
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection.
    Acharya UR; Bhat S; Faust O; Adeli H; Chua EC; Lim WJ; Koh JE
    Eur Neurol; 2015; 74(5-6):268-87. PubMed ID: 26650683
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Nonlinear EEG analysis during sleep in premature and full-term newborns.
    Ferri R; Chiaramonti R; Elia M; Musumeci SA; Ragazzoni A; Stam CJ
    Clin Neurophysiol; 2003 Jul; 114(7):1176-80. PubMed ID: 12842712
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.